Food and nutrition security Archives - CABI.org

CABI announces plan to strengthen impact and ensure long-term sustainability

Wed, 10 Sep 2025 12:51:54 +0000

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Boosting international trade by improving the Sanitary and Phytosanitary system for horticulture in Uganda

Wed, 26 Mar 2025 14:06:17 +0000

In Uganda, the export of horticultural produce to global markets is significant to the economy, food security and livelihoods. In 2023, 60% of exports, which included fresh fruit and vegetables, were to the EU, worth 58 million euros. However, despite the notable exports, Uganda has a limited share of the EU market. This is due to produce being intercepted and rejected because it does not meeting the required Sanitary and Phytosanitary (SPS) standards. CABI is working in collaboration with partners to strengthen the capacity of Ugandan authorities and private sector organizations to comply with SPS measures for domestic and export markets with the aim of increasing trade, safeguarding health and increasing income and employment opportunities.

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One Health Hub

Wed, 30 Oct 2024 15:15:26 +0000

The One Health Hub is a knowledge, evidence, and learning platform that promotes a cross-sectoral One Health agenda encompassing human, animal, plant, and ecosystem health. It identifies gaps in knowledge, analyses evidence, and helps to shape policies for a more interconnected approach to health. The platform works with global and regional organizations to help mainstream a One Health approach in sustainable development. It also supports global development initiatives by helping them to embed One Health thinking in their programming. The One Health Hub is managed by CABI with funding from UK International Development from the UK government, and works in partnership with the Juno Evidence Alliance.

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Generative AI for Agriculture Advisory

Mon, 02 Sep 2024 14:00:28 +0000

Generative Artificial Intelligence (GenAI) technology offers enormous potential by addressing information asymmetries and rapidly advancing research. In the agriculture sector, it can localize digital advisory messages and increase the accessibility of such messages to reduce the digital divide compared to traditional, non-AI communication methods. Using natural language processing (NLP) and large language models (LLMs) offers new potential to disseminate complex scientific information more widely, in local dialects and through various formats, transforming accessibility. This project will explore the potential to deliver advisories based on CABI’s highly curated and expert-validated resources to plant doctors and other agriculture advisors via Generative AI chatbot technology, and the data governance and licensing necessary to ensure the quality of such advisories.

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Integrated management of fall armyworm in rice-based ecosystems

Wed, 19 Jun 2024 14:21:23 +0000

Rice is a food security crop in the Philippines. It is the second most important commodity after sugar cane. However, an invasion of the fall armyworm in Asia is damaging food crops, including rice, and threatening the food, nutrition and income security of millions of farming households. To sustainably manage this ferocious pest, an integrated pest management strategy is required. CABI is providing its expertise to help the country develop ‘preparedness’ strategies to mitigate the impacts of fall armyworm on rice production.

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Coffee berry borer modelling for Kenyan coffee production

Mon, 20 May 2024 14:16:05 +0000

The coffee berry borer is a major coffee pest worldwide, threatening farmers’ livelihoods and the production of coffee. In Kenya, the pest is a particular problem in low-altitude zones and can cause up to 80% losses. Erratic rainfall and other effects of climate change are making it hard to break the pest lifecycle. In this project, CABI used its tried and tested PRISE model to compile a comprehensive risk assessment of the Kenyan coffee sector and create a model specific to the coffee berry borer in Kenya. With partners, the project aimed to empower farmers and stakeholders within the coffee value chain with actionable advice derived from data and modelling.

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EU-China joint action to increase the development and adoption of IPM tools

Thu, 18 Jan 2024 10:37:21 +0000

The persistent threat of invasive agricultural pests and their chronic re-emergence underlines the importance of Integrated Pest Management (IPM) tools and their implementation. Pest management typically relies largely on chemical pesticides, increasing the risks to humans and wildlife. Despite European Union and Chinese policies promoting the use of IPM, widespread adoption by farmers is limited. This project will utilize existing knowledge and techniques to adapt and optimize future IPM tools and practices. The project will further develop high-potential IPM tools and design cost-effective, environmentally safe IPM packages for economically important crops. Together with partners, CABI will lead the development of a web-based IPM tool performance demonstrator. CABI will also make valuable contributions to the development and efficacy of IPM tools against fall armyworm and develop a biocontrol agent for common ragweed.

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Enabling FAIR data sharing and responsible data use

Thu, 14 Dec 2023 10:01:12 +0000

The generation, collection, storage, use and sharing of data can be time-consuming and expensive. Often, effort is duplicated, or the potential value of data is lost because the data cannot be found, accessed, used, or reused. Not all the Bill & Melinda Gates Foundation's data-rich work has met its potential because data has not been shared or assets have not been used in new contexts. The foundation is committed to unlocking the full value of data in agriculture and food systems through open and interoperable data ecosystems. In this project, CABI will address constraints in realizing the value of data in the foundation’s investments by increasing the capacity and capability of Program Officers, grantees and national systems to initiate and manage change processes towards FAIR (findable, accessible, interoperable and reusable) and responsible data management.

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CABI and FAO collaborate to help improve livelihoods of smallholder farmers and ease the global food crisis

Fri, 20 Oct 2023 09:26:55 +0000

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Earth observation to improve critical datasets for pest risk modelling

Tue, 03 Oct 2023 12:44:49 +0000

Rising temperatures have led to pests, diseases and weeds establishing in areas of the world that were previously uninhabitable. Furthermore, growth in global trade and new trade pathways increase the risk of accidental movement of pests. Earth Observation (EO) and climatic data can help by improving predictions about where potential agricultural pests and diseases may be a threat. Information produced by models can help decision makers understand and prepare for future risks. Working with a consortium of researchers, this project will use EO data to improve the data layers used in models that predict where pests can establish, including irrigation, areas under protected agriculture and climatic canopy conditions, demonstrating the improvements made to species distribution estimations for key pests and biological control agents.

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