Rice is a vital crop for India, contributing around 30 percent of calories consumed in the country and providing a crucial source of income from exports. However, due to climate change and conversion of land for other uses, rice growing area in India is projected to decline by 6-7 million hectares (ha) by 2050, while production must increase by 1.1% annually over the next four decades to achieve rice self-sufficiency for the country.
As there is limited opportunity to horizontal expansion of cultivable land, the predicted increase in demand must be met through increasing rice yields in regions with low yields and maintaining existing yields in high-yielding areas. This must be achieved using sustainable farming practices: currently, 90 percent of total greenhouse gas (GHG) emissions of monsoon season cropped cereals in India is caused by rice cultivation, as is 80 percent of the energy and water used in agriculture.
Scientists found that in the Northwestern Indo-Gangetic Plains (IGP) of India, yield gaps were small (ca. 2.7 t ha−1, or 20% of potential yield) mainly because of intensive production system with high input use. Using management data from 4,107 individual farmer fields, the study highlighted scope to reduce nitrogen (N) inputs without compromising yields in this intensive production system.
Findings show evidence of and methodology for the quantification of yield gaps and approaches that can improve resource-use efficiency, providing a possible alternative approach that could be reproduced elsewhere for other crops and contexts. It is recommended that future research focuses on ways to reduce other production inputs without compromising the yields in such intensive production systems.
This paper is the result of Harishankar Nayak’s PhD training in collaboration with the Indian Council of Agricultural Research (ICAR) jointly supervised by the researchers at the Indian Agricultural Research Institute (IARI) and International Maize and Wheat Improvement Center (CIMMYT).
Cover photo: A farmer stands in his rice field at a Climate-Smart Village in the Vaishali district of Bihar, India, as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). (Photo: DK Singh/CIMMYT)
Nilupa Gunaratna (right), statistician at the International Nutrition Foundation, helps a farmer and her daughter to fill in a survey form on quality protein maize (QPM) as part of the QPM Development (QPMD) project in Karatu, Tanzania. (Photo: CIMMYT)
Recently, I published the technical description of Ontology-Agnostic Metadata Schema (OIMS) in the journal Frontiers in Sustainable Food Systems, as part of a special issue on “Agile Data-Oriented Research Tools to Support Smallholder Farm System Transformation.”
CGIAR and the International Maize and Wheat Improvement Center (CIMMYT) are dedicated to providing research data information products (RDIP) in open access, following the FAIR data standards. FAIR stands for findable, accessible, interoperable and reusable. Organizations dedicated to open data have made massive progress in making data findable and accessible. A clear example is a free, open-access repository of research studies developed by CIMMYT scientists. Article 4.1.c.i. of the CGIAR data policy states that “Relevant data assets (e.g. datasets) and metadata shall be interoperable and fit for reuse.”
This is easier said than done. There are well-established standards for descriptive metadata such as the Dublin Core and the derived standard used widely across the CGIAR, aptly called CGcore, used in CIMMYT’s Dataverse research data repository. However, these standards are lacking in many domains for describing the actual content of data sets.
At best, idiosyncratic data dictionaries are developed for specific datasets, projects and sometimes even programs. Idiosyncratic data dictionaries help make data interoperable but, in many cases, require a lot of preprocessing before scientists can actually reuse the data. Having a standard for data dictionaries would be a huge leap forward, but is not likely to happen anytime soon.
The next best thing is to standardize the way that you describe data dictionaries. This was recognized by the community of practice on socioeconomic data of the CGIAR Platform for Big data in Agriculture. Over the past few years, efforts led by CIMMYT set to remedy that lack of a standard, resulting in the flexible, extensible, machine-readable, human-intelligible and ontology-agnostic metadata schema (OIMS).
The paper in the journal Frontiers in Sustainable Food Systems describes a lightweight, flexible, and extensible metadata schema. It is designed to succinctly describe data collected for international agricultural research for development, facilitating interoperability. The schema is also meant to make it easier to store, retrieve and link different datasets stored in a data lake.
Agricultural research data comes to the surface
The paper discusses a need for this type of schema. Typically, agricultural research data comes in different formats and from different sources. For example, we can have structured surveys, semi-structured surveys, mobile phone records and satellite data. In the case of socioeconomic data, it can be particularly “messy.” To facilitate interoperability, we need to find methods to describe these datasets, which are machine readable — or actionable.
There have been other attempts to provide a standardized way to make data interoperable. Past approaches have been comprehensive but cumbersome. That could be the reason why they are typically only used by larger-scale projects. OIMS provides a framework that can be used by all data managers and scientists to enhance the interoperability for research data to ensure the data can be reused with much more ease.
The paper provides a detailed description of OIMS, including: the metadata schema, which describes the data dictionary; and the self-describing metadata, which describes the fields in the metadata. The paper then demonstrates the utility of this schema using a small segment of a household survey.
This paper presents an internally consistent approach to providing metadata for data files when standards are missing. It is flexible and extensible, so it will not be obsolete before it is implemented at scale. The approach is based on the concept of data lakes where data is stored as is. To ensure that data lakes do not become swamps, metadata is indispensable. The OIMS metadata schema approach can help to standardize the description of metadata and thus can be considered the fishing gear to extract data from the data lake.
As part of the on-going work started by the community of practice on socioeconomic data of the CGIAR Platform for Big Data in Agriculture, implementation of the OIMS metadata schema approach on datasets that can create indicators highlighted in the 100Q approach with linkages to the nascent socioeconomic ontology SEOnt is envisaged. This will provide datasets with enhanced interoperability.
With more and more datasets using the OIMS approach in the near future, it will become possible to turn what is currently a socioeconomic data swamp into a data lake. This will provide timely actionable information to support agri-food systems transformation — helping smallholders make a living while staying within planetary boundaries.
Implementing OIMS in practice requires data managers and scientists that collect the data to actively engage in providing the relevant metadata. As mentioned before, some of the metadata can be gleaned from the software solutions the scientists use already. As these are structured metadata, they can be extracted by machines. Often it does require curation by the scientist involved, especially when the software solution does not provide key information that the scientist has at hand but is not documented in a machine-readable way.
At the same time, climate change has likely slowed breeding progress for high-yielding, broadly adapted wheat, according to the new study, published recently in Nature Plants.
“Breeders are usually optimistic, overlooking many climate change factors when selecting,” said Matthew Reynolds, wheat physiologist at the International Maize and Wheat Improvement Center (CIMMYT) and co-author of the publication. “Our findings undermine this optimism and show that the amplified interaction of wheat lines with the environment due to climate change has made it harder for breeders to identify outstanding, broadly adapted lines.”
What do 10 million data points tell scientists?
Each year for nearly half a century, wheat breeders taking part in the CIMMYT-led International Wheat Improvement Network (IWIN) have tested approximately 1,000 new, experimental wheat lines and varieties at some 700 field sites in over 90 countries.
Promising lines are taken up by wheat breeding programs worldwide, while data from the trials is used to guide global breeding and other critical wheat research, explained Wei Xiong, CIMMYT crop modeler/physiologist based in China and lead author of the new paper.
“To date, this global testing network has collected over 10 million data points, while delivering wheat germplasm estimated to be worth several billion dollars annually in extra productivity to hundreds of millions of farmers in less developed countries,” Xiong said.
Xiong and his colleagues analyzed “crossover interactions” — changes in the relative rankings of pairs of wheat lines — in 38 years of data from four kinds of wheat breeding trials, looking for the extent to which climate change or breeding progress have flipped those rankings. Two of the trials whose data they examined focused on yield in bread wheat and durum wheat, while the other two assessed wheat lines’ performance under high temperatures and in semi-arid environments, respectively.
In addition to raising yields, wheat breeders are endowing the crop with added resilience for rising temperatures.
“We found that warmer and more erratic climates since the 1980s have increased ranking changes in global wheat breeding by as much as 15 percent,” Xiong said. “This has made it harder for breeders to identify superior, broadly adapted lines and even led to scientists discarding potentially useful lines.”
Conversely, wheat cultivars emerging from breeding for tolerance to environmental stresses, particularly heat, are showing substantially more stable yields across a range of environments and fostering wheat’s adaptation to current, warmer climates, while opening opportunities for larger and faster genetic gains in the future, according to the study.
“Among other things, our findings argue for more targeted wheat breeding and testing to address rapidly shifting and unpredictable farming conditions,” Reynolds added.
A new digital soil map for Nepal provides access to location-specific information on soil properties for any province, district, municipality or a particular area of interest. The interactive map provides information that will be useful to make new crop- and site-specific fertilizer recommendations for the country.
Produced by the International Maize and Wheat Improvement Center (CIMMYT), in collaboration with Nepal Agricultural Research Council’s (NARC) National Soil Science Research Center (NSSRC), this is the first publicly available soil map in South Asia that covers the entire country.
The Prime Minister of Nepal, K.P. Sharma Oli, officially launched the digital soil map at an event on February 24, 2021. Oli highlighted the benefits the map would bring to support soil fertility management in the digital era in Nepal. He emphasized its sustainability and intended use, mainly by farmers.
CIMMYT and NSSRC made a live demonstration of the digital soil map. They also developed and distributed an informative booklet that gives an overview of the map’s major features, operation guidelines, benefits, management and long-term plans.
The launch event was led by the Ministry of Agriculture and Livestock Development and organized in coordination with NARC, as part of the Nepal Seed and Fertilizer (NSAF) project, implemented by CIMMYT. More than 200 people participated in the event, including government officials, policymakers, scientists, professors, development partner representatives, private sector partners and journalists. The event was also livestreamed.
Better decisions
Immediately after the launch of the digital soil map, its CPU usage grew up to 94%. Two days after the launch, 64 new accounts had been created, who downloaded different soil properties data in raster format for use in maps and models.
The new online resource was prepared using soil information from 23,273 soil samples collected from the National Land Use Project, Central Agricultural Laboratory and Nepal Agricultural Research Council. The samples were collected from 56 districts covering seven provinces. These soil properties were combined with environmental covariates (soil forming factors) derived from satellite data and spatial predictions of soil properties were generated using advanced machine learning tools and methods.
The platform is hosted and managed by NARC, who will update the database periodically to ensure its effective management, accuracy and use by local government and relevant stakeholders. The first version of the map was finalized and validated through a workshop organized by NSSRC among different stakeholders, including retired soil scientists and university professors.
Ivan Ortiz-Monasterio, principal scientist at CIMMYT, shared his remarks in a video message. (Photo: Shashish Maharjan/CIMMYT)
“The ministry can use the map to make more efficient management decisions on import, distribution and recommendation of appropriate fertilizer types, including blended fertilizers. The same information will also support provincial governments to select suitable crops and design extension programs for improving soil health,” said Padma Kumari Aryal, Minister of Agriculture and Livestock Development, who chaired the event. “The private sector can utilize the acquired soil information to build interactive and user-friendly mobile apps that can provide soil properties and fertilizer-related information to farmers as part of commercial agri-advisory extension services,” she said.
“These soil maps will not only help to increase crop yields, but also the nutritional value of these crops, which in return will help solve problems of public health such as zinc deficiency in Nepal’s population,” explained Ivan Ortiz-Monasterio, principal scientist at CIMMYT, in a video message.
Yogendra Kumar Karki, secretary of the Ministry of Agriculture and Livestock Development, presented the program objectives and Deepak Bhandari, executive director of NARC, talked about the implementation of the map and its sustainability. Special remarks were also delivered by USAID Nepal’s mission director, the secretary of Livestock, scientists and professors from Tribhuwan University, the International Fertilizer Development Center (IFDC) and the International Centre for Integrated Mountain Development (ICIMOD).
K.P. Sharma Oli (left), Prime Minister of Nepal, and Padma Kumari Aryal, Minister of Agriculture and Livestock Development, launch the digital soil map. (Photo: Shashish Maharjan/CIMMYT)
Benefits of digital soil mapping
Soil properties affect crop yield and production. In Nepal, access to soil testing facilities is rather scarce, making it difficult for farmers to know the fertilizer requirement of their land. The absence of a well-developed soil information system and soil fertility maps has been lacking for decades, leading to inadequate strategies for soil fertility and fertilizer management to improve crop productivity. Similarly, existing blanket-type fertilizer recommendations lead to imbalanced application of plant nutrients and fertilizers by farmers, which also negatively affects crop productivity and soil health.
This is where digital soil mapping comes in handy. It allows users to identify a domain with similar soil properties and soil fertility status. The digital platform provides access to domain-specific information on soil properties including soil texture, soil pH, organic matter, nitrogen, available phosphorus and potassium, and micronutrients such as zinc and boron across Nepal’s arable land.
Farmers and extension agents will be able to estimate the total amount of fertilizer required for a particular domain or season. As a decision-support tool, policy makers and provincial government can design and implement programs for improving soil fertility and increasing crop productivity. The map also allows users to identify areas with deficient plant nutrients and provide site-specific fertilizer formulations; for example, determining the right type of blended fertilizers required for balanced fertilization programs. Academics can also obtain periodic updates from these soil maps and use it as a resource while teaching their students.
As digital soil mapping advances, NSSRC will work towards institutionalizing the platform, building awareness at the province and local levels, validating the map, and establishing a national soil information system for the country.
Data has become a key driver of growth and change in today’s world.
There is growing recognition that data is indispensable for effective planning and decision-making in every sector. But the state of digital data in developing countries is far from satisfactory. In Asia, monitoring the Sustainable Development Goals (SDGs) remains a challenge due to a lack of accurate data.
A digital transformation is changing the face of international research for development and agri-food systems worldwide. This was the key takeaway from the 4th annual CGIAR Big Data in Agriculture Convention held virtually last month.
“In many countries, farmers are using data to learn about market trends and weather predictions,” said Martin Kropff, director general of the International Maize and Wheat Improvement Center (CIMMYT), in a video address to convention participants. “But many still do not have access to everything that big data offers, and that is where CIMMYT and partners come in.”
As a member of CGIAR, CIMMYT is committed to ensuring that farmers around the world get access to data-driven solutions and information, while at the same time ensuring that the data generated by farmers, researchers and others is used ethically.
According to CGIAR experts and partner organizations, there are four key areas with the potential to transform agriculture in the next 10 years: data, artificial intelligence (AI), digital services and sector intelligence.
Key interventions will involve enabling open data and responsible data use, developing responsible AI, enabling and validating bundled digital services for food systems, and building trust in technology and big data — many of which CIMMYT has been working on already.
Harnessing data and data analytics
Led by CIMMYT, the CGIAR Excellence in Breeding (EiB) team have been developing the Enterprise Breeding System (EBS) — a single data management software solution for global breeding programs. The software aims to provide a solution to manage data across the entire breeding data workflow — from experiment creation to analytics — all in a single user-friendly dashboard.
CIMMYT and partners have also made significant breakthroughs in crop modelling to better understand crop performance and yield gaps, optimize planting dates and irrigation systems, and improve predictions of pest outbreaks. The Community of Practice (CoP) on Crop Modeling, a CGIAR initiative led by CIMMYT Crop Physiologist Matthew Reynolds, aims to foster collaboration and improve the collection of open access, easy-to-use data available for crop modelling.
The CIMMYT-led Community of Practice (CoP) on Socio-Economic Data continues to work at the forefront of making messy socio-economic data interoperable to address urgent and pressing global development issues in agri-food systems. Data interoperability, one of the foundational components of the FAIR data standards supported by CGIAR, addresses the ability of systems and services that create, exchange and consume data to have clear, shared expectations for its content, context and meaning. In the wake of COVID-19, the world witnessed the need for better data interoperability to understand what is happening in global food systems, and the CoP actively supports that process.
The MARPLE team carries out rapid analysis using the diagnostic kit in Ethiopia. (Photo: JIC)
Improving data use and supporting digital transformation
In Ethiopia, the MARPLE (Mobile And Real-time PLant disEase) diagnostic kit — developed by CIMMYT, the Ethiopian Institute of Agricultural Research (EIAR) and the John Innes Centre (JIC) — has helped researchers, local governments and farmers to rapidly detect diseases like wheat rust in the field. The suitcase-sized kit cuts down the time it takes to detect this disease from months to just 48 hours.
In collaboration with research and meteorological organizations including Wageningen University and the European Space Agency (ESA), CIMMYT researchers have also been developing practical applications for satellite-sourced weather data. Crop scientists have been using this data to analyze maize and wheat cropping systems on a larger scale and create more precise crop models to predict the tolerance of crop varieties to stresses like drought and heatwaves. The aim is to share the climate and weather data available on an open access, user-friendly database.
Through the AgriFoodTrust platform — a new testing and learning platform for digital trust and transparency technologies – CIMMYT researchers have been experimenting with technologies like blockchain to tackle issues such as food safety, traceability, sustainability, and adulterated and counterfeit fertilizers and seeds. Findings will be used to build capacity on all aspects of the technologies and their application to ensure this they are inclusive and usable.
In Mexico, CIMMYT and partners have developed an application which offers tailored recommendations to help individual farmers deal with crop production challenges sustainably. The AgroTutor app offers farmers free information on historic yield potential, local benchmarks, recommended agricultural practices, commodity price forecasting and more.
Stepping up to the challenge
As the world becomes increasingly digital, harnessing the full potential of digital technologies is a huge area of opportunity for the agricultural research for development community, but one that is currently lacking clear leadership. As a global organization already working on global problems, it’s time for the CGIAR network to step up to the challenge. Carrying a legacy of agronomic research, agricultural extension, and research into adoption of technologies and innovations, CGIAR has an opportunity to become a leader in the digital transformation of agriculture.
Currently, the CGIAR System is coming together as One CGIAR. This transformation process is a dynamic reformulation of CGIAR’s partnerships, knowledge, assets, and global presence, aiming for greater integration and impact in the face of the interdependent challenges facing today’s world.
“One CGIAR’s role in supporting digitalization is both to improve research driven by data and data analytics, but also to foster the digitalization of agriculture in low and lower-middle income countries,” said CIMMYT Economist Gideon Kruseman at a session on Exploring CGIAR Digital Strategy at last month’s Big Data convention.
“One CGIAR — with its neutral stance and its focus on global public goods — can act as an honest broker between different stakeholders in the digital ecosystem.”
Cover photo: A researcher demonstrates the use of the AgroTutor app on a mobile phone in Mexico. (Photo: Francisco Alarcón/CIMMYT)
The Community of Practice on Crop Modeling is part of the CGIAR Platform for Big Data in Agriculture and encompasses a wide range of quantitative applications, based around the broad concept of parametrizing interactions within and among the main drivers of cropping systems. These are namely: Genotype, Environment, Management and Socioeconomic factors (GEMS) to provide information and tools for decision support. The Community of Practice was formed in 2017 and is led by Wheat Physiologist Matthew Reynolds at the International Maize and Wheat Improvement Center (CIMMYT) in Texcoco, Mexico.
Crop modeling has already contributed to a better understanding of crop performance and yield gaps; predictions of potential pest and disease epidemics; more efficient irrigation and fertilization systems, and optimized planting dates. These outputs help decision makers look ahead and prepare their research and extension systems to fight climate change where it is most needed. However, there is a significant opportunity — and need — to improve the global coordination of crop modeling efforts in agricultural research. This will, in turn, greatly improve the world’s ability to develop more adaptive, resilient crops and cropping systems.
Our Community of Practice aims to promote a better-coordinated and more standardized approach to crop modeling in agricultural research. With over 900 members involving CGIAR centers and a wide range of international partners, the Crop Modeling Community of Practice is already facilitating and sharing knowledge, resources, “model-ready” data, FAIR (Findable, Accessible, Interoperable, Reusable) data principles, and other useful information; while promoting capacity building and collaboration within the CGIAR and its community.
The AgriFoodTrust platform is gaining traction in its quest to bring inclusive and usable trust and transparency technologies to the agri-food sector according to platform co-founder and International Maize and Wheat Improvement Center (CIMMYT) Economist Gideon Kruseman.
Since its launch in late February, researchers from the platform have been experimenting with technologies like blockchain to tackle issues such as food safety, traceability, sustainability, and adulterated and counterfeit fertilizers and seeds.
Experts from one of the platform’s leading partners, The New Fork, recently teamed up with HarvestPlus and El-Kanis and Partners to investigate solutions to the problem of counterfeit biofortified seeds in Nigeria. They will work together on a public open blockchain to verify biofortified seeds, so that farmers know that the seeds they are buying are authentic. Building on the concept published in one of the Community of Practice on Socio-economic Data reports, the team formulated a project to pilot the idea.
The project is a finalist in the INSPIRE challenge, a CGIAR initiative to leverage the global food security expertise of CGIAR with expert industry partners to link digital technologies to impact in developing economies.
Finalists in the challenge will come together to pitch their projects during a session at the CGIAR Big Data in Agriculture Convention, a free virtual event taking place Oct 21 – 23. Registration for the convention is still open.
The convention will also bring together experts from the AgriFoodTrust platform to discuss transparency, accountability and sustainability in food systems using digital technologies like blockchain in a pre-recorded session on October 21 at 12:15 UTC. The session will provide an introduction to the platform and its philosophy, as well as contributions from platform stakeholders and partners such as The New Fork, GIZ, the organizing committee of Strike Two, AgUnity, the Carbon Drawn Initiative, Bluenumber, Scantrust and blockchain-for-good enthusiasts like Chris Addison and Eloise Stancioff.
Key stakeholders, interested researchers and organizations will meet virtually in a pre-convention event to discuss how to accelerate the use of digital trust and transparency technologies through the sharing of knowledge and capacity development. Participation in this event requires registration.
Experimental harvest of orange maize biofortified with provitamin A in Zambia. (Photo: CIMMYT)
Building a more transparent food sector though blockchain
Blockchain is a decentralized, digital ledger for keeping records. Digital information, or blocks, is stored in a public database, or chain, and shared with users. These blocks can be accessed by users in real time, and any alterations made to this information can be seen by users. The aim is to reduce risk, eliminate fraud and bring transparency to digital assets.
The AgriFoodTrust platform teams up researchers from CGIAR centers with academia, private sector agri-food companies, tech start-ups and development practitioners to experiment with blockchain and related trust technologies in the agri-food sector. The group is also testing different business models and partnerships with a mission to create a reliable knowledge base and share their findings.
Findings on the new platform will be used to build capacity on all aspects of the technologies and their application to ensure they are inclusive and usable.
Researchers hope that solutions like QR codes — a type of matrix barcode that can be scanned by smartphones — can be used to tackle challenges like preventing the sale of counterfeit seeds and adulterated fertilizer to farmers. Other uses include ensuring food traceability and sustainability, and monitoring and improving the implementation of performance of international agreements related to agriculture.
The technology could even be applied to prevent farmers from burning crop residues — a major cause of air pollution and greenhouse gas emissions in India — by offering credits or tokens to farmers who do not engage in such practices, said Kruseman.
Much like in high-end coffee products, where customers willingly pay more for a guarantee of high quality, tokenization and digital trust technologies could allow customers of wheat flour products in India to donate extra for a certification that no crop residues were burned by the farmer.
The burning of crop residue, or stubble, across millions of hectares of cropland between planting seasons is a visible contributor to air pollution in both rural and urban areas of India. (Photo: Dakshinamurthy Vedachalam/CIMMYT)
By 2050, farmers will need to grow enough food to feed 10 billion people, using less land and fewer resources. Their job will be made even more difficult thanks to the challenges of climate change. Achieving a more inclusive, resilient and sustainable food system is needed now more than ever. It is hoped that digital trust technologies can help us respond, manage or avert crises in the future.
For more information on the INSPIRE challenge and the CGIAR Big Data in Agriculture Convention and how to attend this free virtual event, visit the event website.
For ten years now, the African Green Revolution Forum (AGRF) has been an unmissable event. Every September, the premier forum for African agriculture has brought people together to share experiences about transforming agriculture, raising productivity for farmers and increasing incomes.
The theme of the 2020 summit — Feed the Cities, Grow the Continent: Leveraging Urban Food Markets to Achieve Sustainable Food Systems in Africa — was a call to action to rethink our food systems to make them more resilient and deliver better nourishment and prosperity for all.
This year, the summit went virtual. Delegates could not mingle, visit booths and network over lunch, but attendance reached new heights. Over 10,400 delegates from 113 countries participated in this edition of the AGRF, compared to 2,300 delegates last year.
As in the previous years, CGIAR centers, including the International Maize and Wheat Improvement Center (CIMMYT), maintained an active presence among speakers and attendees.
With over 50 projects and hundreds of staff based across nine countries, Africa holds a significant position in CIMMYT’s research agenda. CIMMYT’s work in Africa helps farmers access new maize and wheat system-based technologies, information and markets, raising incomes and enhancing crop resilience to drought and climate change. CIMMYT sets priorities in consultation with ministries of agriculture, seed companies, farming communities and other stakeholders in the maize and wheat value chains.
Striving for excellence
CGIAR leveraged AGRF 2020’s highly diversified and international audience to launch the Excellence in Agronomy 2030 initiative (EiA 2030) on September 7, 2020. EiA’s impressive group of experts plans to hit the ground running in 2020 and work toward speeding up progress in tailoring and delivering nutrients and other agronomic solutions to smallholder farmers in Africa and other regions.
“Across agricultural production systems, low crop yields and inadequate incomes from agriculture are the rule rather than the exception,” said Martin Kropff, Director General of CIMMYT and Chair of One CGIAR Transition Advisory Group (TAG) 2 on Research. “At the same time, the ‘asks’ of agriculture have evolved beyond food security. They now include a broader range of Sustainable Development Goals, such as sustainable land management, climate change mitigation, provision of heathy diets, and inclusive economic growth. None of these goals will be achieved without the large-scale adoption of improved and adapted agronomic practices. To this end, we have initiated the creation of a CGIAR-wide EiA 2030 initiative aiming at reducing yield and efficiency gaps for major crops at scale.”
EiA 2030 is funded by the Bill & Melinda Gates Foundation, supported by the Big Data Platform and co-created by AfricaRice, CIAT, CIMMYT, CIP, ICARDA, ICRAF, ICRISAT, IITA and IRRI.
Martin Kropff (first row, fourth from left), Bram Govaerts (second row, first from left) and Lennart Woltering (second row, third from left) spoke at the “Scaling and Food Systems Transformation in the PLUS-COVID-19 era” panel.
Scaling agriculture beyond numbers
On September 7, 2020, a group of experts, including Lennart Woltering, Scaling Catalyst at CIMMYT and chair of the Agriculture and Rural Development (ARD) working group of the Community of Practice on Scaling, gathered to explore how organizations are supporting scaling food systems in a post-COVID-19 world.
As Martin Kropff mentioned in a video address, One CGIAR aims to deliver on its commitments by building on its experience with pioneering integrated development projects, such as CSISA, CIALCA and AVISA. “One CGIAR plans to be actively involved and help partners to scale by delivering on five One CGIAR impact areas at the regional level. How? By taking integrated regional programs from strategic planning to tactical implementation in three steps: strategic multi-stakeholder demand-driven planning process, tactical plan development based on the integration of production and demand, and implementation of multi-stakeholder innovation hubs. An integrated regional approach will deliver at scale,” Kropff said.
“CIMMYT has developed different scenarios regarding what agri-food systems will look like in 2025 with the COVID-19 shock. Whatever may unfold, integrated systems are key,” highlighted Bram Govaerts, Director of the Integrated Development Program and one of CIMMYT’s interim Deputy Directors General for Research, during the session.
“Diversity and proactive mindsets present at the #AGRF2020 High-Level Ministerial Roundtable. An example of how we can shape the future, listening to what’s needed, investing in agriculture and making resilient food systems to resist the impact of #COVID19 #AgricultureContinues,” tweeted Bram Govaerts (first row, second from left) along with a screenshot of his Zoom meeting screen.
Putting healthy diets on the roundtable
Later in the week, CIMMYT experts took part in two key events for the development of Africa’s agriculture. Govaerts stepped in for Kropff during the High-Level Ministerial Roundtable, where regional leaders and partners discussed reaching agricultural self-sufficiency to increase the region’s resilience toward shocks such as the ongoing pandemic.
At the Advancing Gender and Nutrition policy forum, Natalia Palacios, Maize Quality Specialist, spoke about engaging nutritionally vulnerable urban consumers. Palacios echoed the other speakers’ calls for transforming agri-food systems and pointed out that cereals and effective public-private partnerships are the backbone of nutritionally vulnerable and poor urban customers’ diets.
According to the Food and Agriculture Organization of the UN, in 30 years, the population of Africa is projected to double to a number as high as 2.7 billion, from 1.34 billion in 2020. Considering only the projected population, by 2050 Africa will have to supply 112.4 to 133.1 million tons of wheat and 106.5 to 126.1 million tons of maize to ensure food security of the burgeoning population. “We are living in a very challenging time because we need to provide affordable, nutritious diets — within planetary boundaries,” Palacios said.
Cover photo: Over 10,400 delegates from 113 countries participated in the 2020 edition of the African Green Revolution Forum. (Photo: AGRA)
This article by Sakshi Saini and Paresh B Shirsath was originally published on the CCAFS website.
Rice farmer in Punjab, India. (Photo: N. Palmer/CIAT)
Farming has often been quoted as one of the noblest professions, shouldering the responsibility of feeding the world; yet it has been globally identified as one of the most perilous industries associated with a high vulnerability rate. Crop insurance has been established worldwide to provide social protection to farmers and reduce their vulnerability. While the emergence of crop insurance schemes around the world indicates commitment to secure the livelihoods of farmers, they often lack accurate seasonal crop growth monitoring and timely yield loss estimation, making the authentication of crop insurance claims more challenging.
Crop loss assessments are often done via crop cutting experiments (CCEs). However, these can suffer from human error and moral hazard. The experiments also require significant capital and human resources, and need to be carried out simultaneously, in a limited period of time. This often leads to inadequate and delayed claim payment, high premium rates, and poor execution of crop insurance schemes.
With technological advancements and availability, crop growth monitoring and productivity assessment can not only be more accurate and efficient but also less resource-intensive. Readily available data and technology, such as detailed weather data, remote sensing, modeling and big data analytics can be instrumental in further improving crop insurance mechanisms. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has developed a Crop-loss Assessment Monitor (CAM) tool as an integrated solution that uses technologies to improve loss assessment and make crop insurance more efficient.
The Crop-loss Assessment Monitor (CAM) tool
The CAM tool integrates multiple input data and methods for crop loss assessment at multiple times in the season. It uses different models for loss assessment depending on the time or stage in the season. To ensure user-friendliness, the tool was developed with a simple, easy-to-use interface and produces outputs customized for policy and risk management agencies. It uses freely available R libraries and does not require specific software installations and high-power processing engines, which in general are a prerequisite to process large gridded satellite data.
CAM provides a form-based user-interface to carry out the analysis. The user can log in and undertake analysis using multiple methods for a specified region and time. The tool allows users to choose between area-based yield insurance and weather-based index insurance. For insurance analysis, scheme details like sum insured and calamity years can be specified for calculation of threshold yields, premiums and claims.
CAM also includes tabs that provide ‘deviation in the weather’ and ‘deviation in satellite vegetation indices’ to help monitor crop conditions every fortnight. The tool also allows users to identify the model agreement between the four different methods for loss assessment, which strengthens the confidence levels in loss assessments, and related insurance analytics.
A single integrated framework
The tool combines agro-meteorological statistical analysis, crop simulation modelling and optimization techniques, and employs near real-time monitoring by using publicly available satellite products. It is also equipped to capture yield variability.
Highlighting the importance of this tool Dr. Pramod Aggarwal, lead author of the paper and CCAFS Asia Program Leader, notes that “assimilating relevant technologies into a single integrated framework is a good way to determine crop losses. Its deployment can assist in multi-stage loss assessment and thus provide farmers with immediate relief for sowing failure, prevented sowing and mid-season adversity apart from final crop loss assessment.”
The tool addresses three major challenges faced by existing crop insurance schemes; more efficient weather indices, timely estimate of loss assessment and improved contract design. As the tool readily uses freely available technology and data, it requires less capital and human resource compared to crop cutting experiments for crop loss assessment. This tool offers a robust mechanism that further reduces the chances of human errors, and makes the process more transparent, robust and reliable. Therefore, it enables timely relief for farmers facing challenges such as sowing failure, prevented sowing and mid-season adversity.
Nine CGIAR centers, supported by the Big Data Platform, will launch the Excellence in Agronomy 2030 initiative on September 7, 2020, during this year’s African Green Revolution Forum (AGRF) online summit.
The Excellence in Agronomy 2030 (EiA 2030) initiative will assist millions of smallholder farmers to intensify their production systems while preserving key ecosystem services under the threat of climate change. This initiative, co-created with various scaling partners, represents the collective resolve of CGIAR’s agronomy programs to transform the world’s food systems through demand- and data-driven agronomy research for development.
EiA 2030 will combine big data analytics, new sensing technologies, geospatial decision tools and farming systems research to improve spatially explicit agronomic recommendations in response to demand from scaling partners. Our science will integrate the principles of Sustainable Intensification and be informed by climate change considerations, behavioral economics, and scaling pathways at the national and regional levels.
A two-year Incubation Phase of EiA 2030 is funded by the Bill & Melinda Gates Foundation. The project will demonstrate the added value of demand-driven R&D, supported by novel data and analytics and increased cooperation among centers, in support of a One CGIAR agronomy initiative aiming at the sustainable intensification of farming systems.
Speaking on the upcoming launch, the IITA R4D Director for Natural Resource Management, Bernard Vanlauwe, who facilitates the implementation of the Incubation Phase, said that “EiA 2030 is premised on demand-driven agronomic solutions to develop recommendations that match the needs and objectives of the end users.”
Christian Witt, Senior Program Officer from the Bill & Melinda Gates Foundation, lauded the initiative as a cornerstone for One CGIAR. “It is ingenious to have a platform like EiA 2030 that looks at solutions that have worked in different settings on other crops and whether they can be applied in a different setting and on different crops,” Witt said.
Martin Kropff, Director General of the International Maize and Wheat Improvement Center (CIMMYT), spoke about the initiative’s goals of becoming the leading platform for next-generation agronomy in the Global South, not only responding to the demand of the public and private sectors, but also increasing efficiencies in the development and delivery of solutions through increased collaboration, cooperation and cross-learning between CGIAR centers and within the broader agronomy R&D ecosystem, including agroecological approaches.
At the EiA 2030 launch, representatives from partner organizations and CGIAR centers will give presentations on different aspects of the project.
CGIAR centers that are involved in EiA include AfricaRice, the International Center for Tropical Agriculture (CIAT), the International Maize and Wheat Improvement Center (CIMMYT), the International Potato Center (CIP), the International Center for Agricultural Research in the Dry Areas (ICARDA), World Agroforestry Center (ICRAF), the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), the International Institute of Tropical Agriculture (IITA), and the International Rice Research Institute (IRRI).
A common approach toward data structuring is needed to improve access to gender research across agriculture data repositories, a recent report by the CGIAR Platform on Big Data in Agriculture suggests.
Simply adding the keyword ‘gender’ in database descriptions will improve the findability of gender agricultural research, which currently is hard to find due to the inconsistent use of keywords and tagging, said the report’s author Marcelo Tyszler, a (gender) data expert with the Royal Tropical Institute (KIT) in the Netherlands.
“The data is there. We just can’t find it all! A lack of consistent keywords when tagging research is leading to holes in searches for gender research across CGIAR, the world’s largest network of agricultural researchers,” he says.
“A more systematic and sharper use of keywords when describing datasets will improve findability in searches,” Tyszler states.
As part of the Findability of Gender Datasets report, researchers used a range of keywords, including ‘gender’, ‘women’ and ‘female,’ to search repositories for gender-based data across CGIAR agricultural research centers and compared the search results with a reference list of gender datasets provided by scientists. The results showed that a number of the datasets in the reference list were not found using these search terms.
The results uncovered important inconsistencies in the description of gender research, especially in terms of how data is structured and the detail of documentation provided in CGIAR repositories, says co-author Ewen Le Borgne, a KIT gender researcher.
“Poor data management limits the impact of research to be found, read and incorporated into new research projects,” Le Borgne says, invoking the age old saying, “If a tree falls in a forest and no one is around to hear it, does it make a sound?”
Ibu Rosalina arranging a Kacang Panjang bush. (Credit: Icaro Cooke Vieira/CIFOR)
The researchers used the findings to promote a standardized approach to tagging and describing their research.
“To improve findability and the impact of data, the gender community should develop a list of commonly agreed keywords that can be used to consistently describe gender research data sets,” Le Borgne explains.
Any dataset containing ‘sex-disaggregated’ data should indicate so in the keywords, said Tyszler. This is also important for non-gender researchers, to broaden the scope of their impact.
“By facilitating the tagging, findability and accessibility of quantitative and qualitative gender data we hope to facilitate mixed methods research by providing opportunities for both qualitative and quantitative researchers to exchange insights and create a stronger dialogue,” he explains.
Moreover, across the CGIAR there is a wealth of gender specific qualitative data collected through focus groups, interviews and other participatory research. As CGIAR continues to advance gender research efforts, big data is unearthing exciting opportunities for understanding and acting on the relationships among gender, agriculture, and rapidly digitizing economies and societies. However, varied approaches to data management is restricting access, thus limiting the impact data can have when other researchers aim to reuse results to gain deeper insights.
Moving beyond the ‘gender’ tag
Lubuk Beringin villagers cut off palm nut fruits at Lubuk Beringin village, Bungo district, Jambi province, Indonesia. (Credit: Tri Saputro/CIFOR)
Not surprisingly, ‘gender’ was the most common keyword used to describe data found in the study. Although it is essential for researchers to add the ‘gender’ keyword to research descriptions they must also go further in describing what the dataset represents, the researchers indicated.
“‘Gender’ is not precise enough a keyword to find all relevant gender-focused datasets. However, our search shows very few details as to what, about gender, is studied in each project,” says Tyszler.
Studies in other fields, for example nutrition, seem to have much more granularity in the description, with keywords including, nutrient intake, nutrition policy, micronutrient deficiencies, etc. We need a movement like this in gender research, he explained.
Better keywords should be a minimum, but it is also possible to consider the identification of a set of smart ‘gender metadata fields’. These would be input elements that need to be filled in that could ensure all CGIAR datasets properly assess gender dimensions, which would boost the visibility of gender research.
Working as part of the CGIAR Socio-Economic Data Community of Practice, the gender researchers support the exchange of gender-focused data collection tools, with standardized focus groups and interview questions, to improve the potential for comparing different datasets.
Since 2018, the CGIAR Platform for Big Data in Agriculture and CGIAR Collaborative Platform for Gender Research have been collaborating out of mutual interest, to identify ways to unlock the big data potential of gender research.
Together they aim to take a much more active role in shaping up how gender data can be better analysed and reveal new insights, said Gideon Kruseman, the lead of the CGIAR Socio-Economic Data Community of Practice.
“We are promoting a standardized approach by bringing together gender data experts with other socio-economic and even biophysical scientists that may not know how to best engage with gender research and data,” Kruseman explains.
Access the full Findability of Gender Datasets report, which was funded through a 2018 grant to KIT Royal Tropical Institute, by the Community of Practice on Socio-Economic Data with co-funding by the CGIAR Gender Platform.
Cover photo: A woman helps to install a drip irrigation pipe on a farm in Gujarat, India. (Credit: Hamish John Appleby, IWMI)
A new testing and learning platform for digital trust and transparency technologies — such as blockchain — in agri-food systems was launched at the Strike Two Summit in late February.
AgriFoodTrust debuted at the summit which brought together key agri-food system players to discuss how blockchain and related technologies can contribute to food safety, quality and sustainability, said Gideon Kruseman, an economist with the International Maize and Wheat Improvement Center (CIMMYT), who co-founded the platform.
“Blockchain is often associated with the digital security that led to cryptocurrencies. However, growing research is providing evidence on its unique potential to bring greater efficiency, transparency and traceability to the exchange of value and information in the agriculture sector,” said Kruseman.
“Many of the wicked problems and seemingly insuperable challenges facing dynamic, complex agri-food system value chains, especially in low and middle-income countries, boil down to a lack of trust, transparency and reliable governance structures,” said the researcher who also leads the Socio-Economic Data Community of Practice of the CGIAR Platform for Big Data inAgriculture.
Future Food panelist speak at the Strike Two Summit in Amsterdam, the Netherlands. (Photo: The New Fork)
A blockchain is a ledger that is almost impossible to forge. It can be described as a data structure that holds transactional records and ensures security, transparency and decentralization. Technology may be at the foundation of the solutions, but technology is the easy part; solving the softer side has proven to be a seemingly insuperable challenge over the past decades, Kruseman explained.
Digital trust and transparency technologies can be used to improve governance structures and limit corruption in agri-food systems in low and middle income countries, said Marieke de Ruyter de Wildt, co-founder of AgriFoodTrust.
“This new generation of decentralized technologies is, in essence, improving governance structures. People often think it is about technology, but it’s not. It is about people and how we organize things.”
“These technologies are neutral, immutable and censorship resistant. You can mimic this if you think about rules without a ruler. Just imagine what opportunities arise when a system is incorruptible,” said de Ruyter de Wildt.
It is hoped, accessible via QR codes, for example, that the technology can be used to tackle challenges, such as preventing the sale of counterfeit seeds to smallholder farmers, ensuring the nutritional value of biofortified crop varieties and promoting the uptake of sustainable agricultural principles whilst improving the implementation and monitoring of international agreements related to agriculture.
“This is where the platform comes in as a knowledge base. The AgriFoodTrust platform sees researchers from CGIAR Centers and academia, such as Wageningen University, experiment with these technologies on top of other solutions, business models and partnerships to determine what works, how, when and for whom, in order to share that information,” Kruseman added.
Findings on the new platform will be used to build capacity on all aspects of the technologies and their application to ensure this technology is inclusive and usable.
Along with Kruseman, AgriFoodTrust co-founders include digital agriculture experts de Ruyter de Wildt, the Founder and CEO of The New Fork, and Chris Addison, Senior Coordinator of Data for Agriculture at CTA. Seed funding for the platform has been raised through CTA, the CGIAR Platform for Big Data in Agriculture and the CGIAR Programs on MAIZE and WHEAT.
“AgriFoodTrust sets out to accelerate understanding about these technologies and fundamentally make food systems more integer and resilient,” explained de Ruyter de Wildt.
By 2050, farmers will need to grow enough diverse and nutritious food to feed 10 billion people on less land using less resources while faced with the challenges of a changing climate. This has led researchers to push for agricultural technologies that engender more inclusive, sustainable food systems. It is hoped that increased trust and transparency technologies can help overcome counterproductive incentives, poor governance structures, prevailing institutional arrangements and market failures.
Farmer receiving information from a phone-based service. (Photo: Michelle DeFreese/CIMMYT)
Agricultural research is entering a new age in Bangladesh. The days, months and years it takes to collect farm data with a clipboard, paper and pen are nearing their end.
Electronic smartphones and tablets are gaining ground, used by researchers, extension workers and farmers to revolutionize the efficiency of data collection and provide advice on best-bet practices to build resilient farming systems that stand up to climate change.
Digital data collection tools are crucial in today’s ‘big data’ driven agricultural research world and are fundamentally shifting the speed and accuracy of agricultural research, said Timothy Krupnik, Senior Scientist and Systems Agronomist at the International Maize and Wheat Improvement Center (CIMMYT).
“Easy-to-use data collection tools can be made available on electronic tablets for surveys. These allow extension workers to collect data from the farm and share it instantaneously with researchers,” he said.
“These tools allow the regular and rapid collection of data from farmers, meaning that researchers and extension workers can get more information than they would alone in a much quicker time frame.”
“This provides a better picture of the challenges farmers have, and once data are analyzed, we can more easily develop tailored solutions to farmers’ problems,” Krupnik explained.
It is the first time extension workers have been involved in data collection in the country. Since the pilot began in late 2019, extension workers have collected data from over 5,000 farmers, with detailed information on climate responses, including the management of soil, water and variety use to understand what drives productivity. The DAE is enthused about learning from the data, and plans to collect information from 7,000 more farmers in 2020.
Bangladesh’s DAE is directly benefiting through partnerships with expert national and international researchers developing systems to efficiently collect and analyze massive amounts of data to generate relevant climate-smart recommendations for farmers, said the department Director General Dr. M. Abdul Muyeed.
Workers spread maize crop for drying at a wholesale grain market. (Photo: Dreamstime.com)
For the first time widespread monitoring examines how farmers are coping with climate stresses, and agronomic data are being used to estimate greenhouse gas emissions from thousands of individual farmers. This research and extension partnership aims at identifying ways to mitigate and adapt to climate change, he explained.
“This work will strengthen our ability to generate agriculturally relevant information and increase the climate resilience of smallholder farmers in Bangladesh,” Dr. Muyeed said.
Next-gen big data analysis produces best-bet agricultural practices
“By obtaining big datasets such as these, we are now using innovative research methods and artificial intelligence (AI) to examine patterns in productivity, the climate resilience of cropping practices, and greenhouse gas emissions. Our aim is to develop and recommend improved agricultural practices that are proven to increase yields and profitability,” said Krupknik.
The surveys can also be used to evaluate on-farm tests of agricultural technologies, inform need-based training programs, serve local knowledge centers and support the marketing of locally relevant agricultural technologies, he explained.
“Collecting farm-specific data on greenhouse gas emissions caused by agriculture and recording its causes is a great step to develop strategies to reduce agriculture’s contribution to climate change,” added Krupnik.
MARPLE team members Dave Hodson and Diane Saunders (second and third from left) stand for a photograph after receiving the International Impact award. With them is Malcolm Skingle, director of Academic Liaison at GlaxoSmithKline (first from left) and Melanie Welham, executive chair of BBSRC. (Photo: BBSRC)
The research team behind the MARPLE (Mobile And Real-time PLant disEase) diagnostic kit won the International Impact category of the Innovator of the Year 2019 Awards, sponsored by the United Kingdom’s Biotechnology and Biological Sciences Research Council (BBSRC).
The team — Diane Saunders of the John Innes Centre (JIC), Dave Hodson of the International Maize and Wheat Improvement Center (CIMMYT) and Tadessa Daba of the Ethiopian Institute for Agricultural Research (EIAR) — was presented with the award at an event at the London Science Museum on May 15, 2019. In the audience were leading figures from the worlds of investment, industry, government, charity and academia, including the U.K.’s Minister of State for Universities, Science, Research and Innovation, Chris Skidmore.
The BBSRC Innovator of the Year awards, now in their 11th year, recognize and support individuals or teams who have taken discoveries in bioscience and translated them to deliver impact. Reflecting the breadth of research that BBSRC supports, they are awarded in four categories of impact: commercial, societal, international and early career. Daba, Hodson and Saunders were among a select group of 12 finalists competing for the four prestigious awards. In addition to international recognition, they received £10,000 (about $13,000).
“I am delighted that this work has been recognized,” Hodson said. “Wheat rusts are a global threat to agriculture and to the livelihoods of farmers in developing countries such as Ethiopia. MARPLE diagnostics puts state-of-the-art, rapid diagnostic results in the hands of those best placed to respond: researchers on the ground, local government and farmers.”
On-the-ground diagnostics
The MARPLE diagnostic kit is the first operational system in the world using nanopore sequence technology for rapid diagnostics and surveillance of complex fungal pathogens in the field.
In its initial work in Ethiopia, the suitcase-sized field test kit has positioned the country — one of the region’s top wheat producers — as a world leader in pathogen diagnostics and forecasting. Generating results within 48 hours of field sampling, the kit represents a revolution in plant disease diagnostics. Its use will have far-reaching implications for how plant health threats are identified and tracked into the future.
MARPLE is designed to run at a field site without constant electricity and with the varying temperatures of the field.
“This means we can truly take the lab to the field,” explained Saunders. “Perhaps more importantly though, it means that smaller, less-resourced labs can drive their own research without having to rely on a handful of large, well-resourced labs and sophisticated expertise in different countries.”
In a recent interview with JIC, EIAR Director Tadessa Daba said, “we want to see this project being used on the ground, to show farmers and the nation this technology works.”
The MARPLE team uses the diagnostic kit in Ethiopia. (Photo: JIC)
Development of the MARPLE diagnostic kit was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the CGIAR Platform for Big Data in Agriculture’s Inspire Challenge. Continued support is also provided by the BBSRC’s Excellence with Impact Award to the John Innes Centre and the Delivering Genetic Gain in Wheat project, led by Cornell University and funded by the UK’s Department for International Development (DFID) and the Bill & Melinda Gates Foundation.
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A new testing and learning platform for digital trust and transparency technologies — such as blockchain — in 
