Valuing trusted knowledge in the age of AI
As AI systems increasingly use and reshape trusted knowledge, how should publishers respond? This blog explores practical approaches to pricing and licensing content for AI, drawing on insights from the GAIA project and CABI’s wider work on data governance.
Why data stewardship matters for understanding crop loss
CABI is strengthening data stewardship to improve how crop loss data is managed, shared and used. Through the GBCL and EDA projects, this work embeds FAIR principles, resolves data challenges, and supports the production of reliable, accessible evidence to inform decision-making on global crop loss.
Reaching 1,000 farmers with plant health advice in Kurdistan Region of Iraq
Fast-paced pest outbreaks and plant diseases are a constant threat to farmers’ crops and livelihoods in Duhok, Kurdistan Region of Iraq. Without timely training and advice by extension officers, farmers miss out on critical knowledge to combat these threats. To help close this information gap, agricultural extension teams tried a new approach by taking plant…
Strengthening FAIR data systems for digital agriculture
CABI’s Enabling FAIR data sharing and responsible data use project is helping program officers, grantees, and national systems get more value from agricultural data. The blog explores how FAIR principles, the FAIR Process Framework, and model content licensing are applied to digital agriculture across Africa.
Bridging the gap: How youth agripreneurs are empowering farmers across East Africa
Youth agripreneurs across East Africa are helping farmers access practical, local support that improves yields, increases incomes, and strengthens sustainable farming.
AI, copyright, and content licensing in digital agriculture
This blog explores how content licensing in agriculture is evolving with the rise of AI, and what these changes mean for copyright, data governance, and digital innovation.
Partnering to improve crop loss data for Odisha’s rice farmers
CABI and CRRI are partnering to strengthen crop loss data in Odisha’s rice systems. Through workshops and stakeholder engagement, the initiative aims to generate robust evidence to support farmers, inform policy, and build resilient, data-driven approaches to reduce crop losses.
One Health research: the three big questions
CABI’s One Health Research Roadmap identifies knowledge gaps and future priorities, guiding researchers and policymakers to deliver coordinated, cross-sectoral solutions for people, animals, plants, and ecosystems.
CABI Landscapes Initiative reports major progress across Eastern Africa
CABI’s Landscapes Initiative is making major strides in Eastern Africa, restoring degraded ecosystems, managing invasive species, and promoting community-led solutions through Integrated Landscape Management.
CRRI-CABI collaboration seeks inclusive solutions for crop loss assessment in rice farming systems
CABI has launched a landmark collaboration with the Central Rice Research Institute (CRRI) to assess the socio-economic impact of crop losses in rice ecosystems in Odisha, India with a special focus on how these losses affect men and women differently. This initiative is part of CABI’s Global Burden of Crop Loss programme, which aims to…