New study: CABI Digital Tools provide benefits including quick and reliable information on crop pests and diseases
A study published in the Journal of Agricultural & Food Information reveals a range of benefits provided by a suite of CABI digital tools including quick and reliable information on crop pests and diseases which impact livelihoods and food security. The scientists reviewed six key digital tools which strategically address…
MaDiPHS project report highlights four recommendations for improved data management and sharing
The case study report of the Malawi Digital Plant Health Service (MaDiPHS) Data Catalogue project has highlighted four major recommendations for improved data management and sharing within projects. MaDiPHS is a project led by the Norwegian Institute of Bioeconomy Research (NIBIO) and funded by the Norwegian Agency for Development Cooperation…
CABI shares expertise in Earth Observation data at International Pest Risk Research Group annual meeting
CABI has shared its expertise in Earth Observation (EO) data at the 2024 annual meeting of the International Pest Risk Research Group (IPRRG) held in association with the Spanish National Research Council and the University of Málaga in Spain. The event, which was co-sponsored by CABI, was held at the…
New project explores the power of Generative Artificial Intelligence to support smallholder farmers
A new project is exploring the power of Generative Artificial Intelligence (GenAI) technology to support smallholder farmers in India and Kenya and enhance their overall agricultural productivity and sustainability. The project, funded by the Bill & Melinda Gates Foundation, aims to localize digital advisory messages and increase the accessibility of…
CABI launches framework for sustainable national soil information systems at Africa Food Systems Forum
CABI recently launched an innovative new online platform which showcases a framework for sustainable national soil information systems (SISs).
Generative AI for Agriculture Advisory
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…