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Tag: crop loss

Plant health data is critical for effective policy change

Learning to evaluate wheat stem rust, a significant cause of crop loss, in the field in Kenya. (Photo: Petr Kosina/CIMMYT)

With rising demand for food, it is more critical than ever to address the challenge of crop losses due to pests and diseases. Current limited understanding of the extent of the problem prevents the advancement and implementation of plant health solutions. Global scientific collaboration is integral to ensure policy recommendations are well-informed by robust evidence and therefore more likely to succeed in the long-term.

The issue of global burden of crop loss closely correlates with the objectives of the One CGIAR Plant Health Initiative, which aims to prevent and manage major pest and disease outbreaks through the development and deployment of inclusive innovations and by building effective national, regional, and global networks. The Initiative, which is being led by the International Maize and Wheat Improvement Center (CIMMYT), will support low- and middle-income countries in Africa, Asia, and Latin America to reduce crop losses due to pests and diseases, and improve food security and livelihoods for smallholder farmers.

Data-driven approaches

The Global Burden of Crop Loss project, which is run by the Centre for Agriculture and Bioscience International (CABI), is working to ensure that there is accurate data on the challenges posed by plant pests and diseases. Questions to understand include where crop losses are the highest, the causes behind these losses, and how best these they can be addressed.

Cambria Finegold, Global Director, Digital Development, CABI said, “If you are not measuring crop loss well, then you don’t know if the extraordinary $25.8 billion spent annually on agricultural research and development is working, or if we are spending it in the right ways.”

Research by the Plant Health Initiative will play a significant role in collecting and disseminating data on some major pests and diseases, which can guide scientists on which areas to prioritize, thereby contributing to an impactful research agenda.

Once data is gathered, CABI aims to inform decision-making for actors at the top levels of the plant health system and ensure that appropriate action is taken to safeguard global food security with the limited resources available.

Integrated pest management strategies have been key in dealing with fall armyworm in Africa and Asia. (Photo: B.M. Prasanna/CIMMYT)
Integrated pest management strategies have been key in dealing with fall armyworm in Africa and Asia. (Photo: B.M. Prasanna/CIMMYT)

Establishing global networks

The value of a data-driven approach was emphasized at a session organized by the Global Burden of Crop Loss on October 14 exploring evidence-based systems to tackle food security. This session was a side event of the UN Food and Agriculture Organization (FAO) Science and Innovation Forum, which this year focused on highlighting the centrality of science, technology and innovations for agrifood systems transformation.

Prasanna Boddupalli, One CGIAR Plant Health Initiative Lead and Director of CIMMYT’s Global Maize Program, explained how the Initiative will bridge knowledge gaps, build risk assessment and rapid response capability, improve integrated pest and disease management, design and deploy tools to prevent contamination of food chains, and promote gender-equitable and socially inclusive innovations for plant health.

With six devastating plant epidemics in Africa alone during the last decade and an increased number of climate change-induced droughts and floods, Boddupalli proposed a revitalized strategy using the objectives of the Plant Health Initiative.

Built on a foundation of partnerships, there are more than 80 national, regional, and international organizations involved in the Initiative across 40 countries in the Global South, in addition to the CGIAR research centers. Through this rapidly expanding collaboration, the focus will be on establishing regional diagnostic and surveillance networks and implementing Integrated Pest Management (IPM) and integrated mycotoxin management.

To address the need for evidence-based policy recommendations, Boddupalli explained the purpose of the Plant Health Innovation Platforms in Africa, Asia and Latin America, leveraging the partners’ research sites. Combining innovations from the CGIAR system, national partners and the private sector, these platforms will enable the co-creation and validation of pest and disease management packages, with the aim of significantly improving adoption of effective and affordable plant health innovations by smallholder farmers.

Removing the barriers for data sharing

The Plant Health Initiative team has recently collected and collated information from national partners and the private sector on actions needed to remove constraints on sharing pest and disease surveillance data. Potential solutions include improved training of national partners, joint research projects, pre-defined processes for data sharing, and focusing on work that meets national and regional priorities.

These approaches will inform the sharing of data collected through the Initiative. For example, researchers are gathering surveillance data on 15 crop pests affecting seven different plants in 25 countries, with the expectation of collecting more than 44,000 samples from 2,100 sites in 2022 alone, with plans for sharing the results with partner institutions.

Boddupalli also emphasized the importance of ramping up remote sensing and drone usage, wherever feasible, for diagnostics and surveillance. However, the current gaps in accessing data and computing facilities in the Global South need to be addressed to make this a reality.

“The OneCGIAR Plant Health Initiative and the Global Burden of Crop Loss project have excellent complementarity,” said Boddupalli. Both have an opportunity to generate and share robust data on crop loss due to existing and emerging crop pests and diseases and use this data to drive effective policy change on plant health management.”

About the Global Burden of Crop Loss:

The Global Burden of Crop Loss initiative is modelled after the Global Burden of Disease initiative in human health, which has transformed health policy and research, over the last 25 years through better use of data. 

The initiative aims to have a similar impact in agriculture, providing evidence to enable the global plant health community to generate actionable information and lead to a dramatic reduction in crop loss, resulting in increased food security and trade.

About the Centre for Agriculture and Bioscience International (CABI):

CABI is an international, inter-governmental, not-for-profit organization that improves people’s lives worldwide by providing information and applying scientific expertise to solve problems in agriculture and the environment.

Their approach involves putting information, skills and tools into people’s hands. CABI’s 49 Member Countries guide and influence their work which is delivered by scientific staff based in their global network of centers.

After the flood

Heavy summer rains have led to severe floods in Pakistan, affecting over 800,000 hectares of land. Rural areas in the southern coastal provinces have been hardest hit with water levels remaining high throughout the Indus River system. This compounds the existing inequalities in livelihoods and represents significant humanitarian as well as agricultural impacts.

Due to flood damage, the estimated direct crop loss by economists stands at around $2.3 billion. Reports indicate that over 32 million people have been displaced by the flooding and urgent humanitarian needs include access to food, water, shelter, and public health.

The International Maize and Wheat Improvement Center (CIMMYT) strongly encourages enhanced investment in ensuring that our agricultural systems can adapt to as well as mitigate climate change impacts. In the current context, the development and distribution of improved wheat seed must be seen as a central pillar of flood response to secure wheat-dependent livelihoods.

No single drop, be it geo-political or climatic, will tip the balance on our global food system. But we must be increasingly aware of the compounding and amplifying effects of each crisis and develop strategies towards more sustainable agri-food systems.

Read the full study: One drop at a time: recent heavy rain has led to flooding in Pakistan, devastating agricultural land, and rural communities

Cover photo: Current areas of cropland and flood-affected crop land in Pakistan. This highlights the significant impacts of the flood waters, particularly on cropland in southern parts of the country. The boundaries shown on this map do not imply official endorsement or acceptance.

Crop-loss Assessment Monitor: A multi-model and multistage decision support system

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.

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