projects

Mining chat messages with plant doctors using language models

Automated recognition of agricultural entities (such as crops, pests, diseases, and chemicals) in WhatsApp and Telegram messages among plant doctors, enabling new ways to surface emerging trends and improve science-based guidance for smallholder farmers.

Approaches include: Natural language processing (NLP), named-entity recognition (NER), fuzzy matching, human-in-the-loop data annotation