You are here: Home / Africa

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.

Level of damage and yield losses associated with the fall armyworm (Spodoptera frugiperda) on maize (Zea mays), millet (Pennisetum glaucum) and sorghum (Sorghum bicolor) on station in Burkina Faso

Are farm input subsidies a disincentive for integratedpest management adoption? Evidence from Zambia

Preliminary results on effects of planting dates and maize growth stages on fall armyworm density and parasitoid occurrence in Zambia

Unleashing nature’s defenders: Farmer-managed natural enemies field reservoirs (NEFRs) enhance management of the invasive papaya mealybug (Paracoccus marginatus) in coastal Kenya

Area-wide pest management and prospects for fall armyworm control on smallholder farms in Africa: A review