Every kilogram counts: Tackling crop loss in Kenya and Ethiopia with data-driven action
In Kenya and Ethiopia, experts are using data-driven approaches to tackle crop loss in maize and wheat—boosting food security, farmer incomes, and national decision-making through the Global Burden of Crop Loss initiative.
Making data work better in agriculture with FAIR principles
CABI’s ‘Enabling FAIR data sharing and responsible data use’ project, funded by the Gates Foundation, is helping transform agricultural development by promoting FAIR data in agriculture. The project empowers stakeholders with tools and capacity to improve data sharing and digital innovation.
Lessons in AI Governance from the GAIA Project
Generative AI is starting to reshape how agricultural advice is produced, shared, and used — but the shift comes with both opportunities and challenges. For smallholder farmers, agriculture advisory chatbots and AI-based diagnostic tools could offer faster, more localised, and scalable support. They are often adopted by farmers directly, whilst in the best cases they…
Six steps to implementing FAIR and responsible data practices
The FAIR Process Framework was developed by CABI and commissioned by the Gates Foundation to guide organizations toward effective data management. Boma Beddie-Memberr, Project Manager, Data Policy & Practice at CABI, outlines the six steps to implementing FAIR and responsible data. The FAIR Process Framework is a structured six-step approach designed to promote the adoption…
Unpacking FAIR’s jargon: The Indian example
Ameen Jauhar, Data Governance Lead in CABI’s Digital Development team, examines the importance of the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Drawing from his experience in data governance and policy, including his work in the data and AI policy sector in India, Ameen explores nuances between global and local data governance jargon and…
Strengthening Agricultural Advisory Services with Generative AI
The Generative Artificial Intelligence for Agriculture Advisory (GAIA) project aims to strengthen agricultural advisory services in Kenya and India. Running from 15 April to 31 December 2024, this pilot project brings together partners to leverage the power of Generative AI to enhance the support available to agricultural extension advisors. The initiative, funded by the Bill…
Importance of MaDiPHS Data Catalogue highlighted as a key resource towards greater FAIR data in agriculture
The importance of the Malawi Digital Plant Health Service (MaDiPHS) Data Catalogue has been highlighted as a key resource towards greater FAIR data in the agricultural sector at a workshop attended by various stakeholders in Malawi.
CABI Academy launches Digital Skills Training Materials to develop digital skills amongst smallholder farmers
CABI Academy, a learning platform that addresses a range of agricultural challenges faced by smallholder farmers, has launched Digital Skills Training Materials. The pack can be used to develop skills of others within the rural community such as agro extension workers and plant doctors. The pack is freely available worldwide. It contains resources such as…
Unlocking the power of data ecosystems in agriculture: Enhancing insight and impact
In today’s data-driven world, understanding and leveraging data ecosystems is paramount for organizations aiming to achieve impactful outcomes. This is exemplified by work being carried out through the CABI-led project ‘Enabling FAIR data sharing and responsible data use.’
CABI’s very own certified drone pilot takes flight to strengthen partnerships for precision crop pest control
The sky’s the limit for Violet Ochieng, CABI’s very own KCAA-Certified drone pilot, who visited the UK from Kenya to help strengthen partnerships for greater use of drone technology for precision crop pest management. Ms Ochieng, Research Officer – Drone Technology, based at CABI’s regional centre for Africa in Nairobi, Kenya, met colleagues from the…