Harnessing nature’s microbes: sustainable agricultural solutions for sub-Saharan Africa
Agriculture is a vital sector in sub-Saharan Africa (SSA). It contributes an average of 25% to the gross domestic product and provides sustenance for nearly 80% of the rural population. However, the region remains the most food insecure globally. Increasing agricultural productivity is the primary objective for SSA, but this goal is partly hindered by low crop yields caused by pests and declining soil productivity. Although several solutions are available, many prove ineffective against various challenges, particularly soil ones. They also pose many difficulties regarding their impact – biodiversity loss, food safety and soil productivity – all stemming from excessive use and unregulated application. These challenges can be addressed by developing low-risk and alternative products based on nature-based solutions that utilize beneficial soil microorganisms. CABI is collaborating with partners to increase the use of nature-based solutions in agrifood systems in SSA.
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 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.