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AI in Ag | Radio | Mobile Devices | Social Media | Video and TV | Web - internet
Artificial Intelligence (AI) in Agricultural Extension
Written with AI assistance and reviewed by Mark Bell, September 2026. That is deliberate—this page demonstrates what AI can do and reminds readers that a person still has to check it.
AI is rapidly changing agricultural extension. Farmers and extension workers can increasingly ask questions using text, voice, or photographs and receive immediate responses in their own language. AI can help diagnose field problems, interpret data, and turn large collections of agricultural information into answers relevant to a particular farmer. But the principles of good extension have not changed: start with farmers' needs, use reliable agricultural knowledge, test recommendations locally, and verify that advice is accurate and practical. Faster delivery of poor information is still poor information.
Early applications show what is possible. Digital Green's FarmerChat lets farmers and extension workers ask agricultural questions by voice, text, or photograph and receive localized advice. AI-based image recognition is also increasingly allowing farmers and extension workers to photograph a crop problem and obtain a preliminary diagnosis. The greatest opportunity may not be to replace extension workers, but to give farmers and extension workers better access to trusted, locally relevant information when and where they need it.
A word of caution: Verify AI recommendations for technical accuracy, local relevance, and practicality, especially where errors could affect livelihoods, human or animal health, or the environment. AI should support, not replace, field observation, local knowledge, and qualified professional judgment.
Where AI fits in: ASK ME
AI helps most in the middle of the process and least at the ends. It is a powerful tool for finding, adapting, and delivering information, but it cannot replace knowing your audience or checking what actually changed in the field.
See Fact Sheet for more - AI in Extension
AI can be confidently wrong, and a well-written answer isn't necessarily correct. Four things to be aware of:
Use AI to help search, draft, translate, and adapt, but have a knowledgeable person check anything a farmer will act on.
AI is rapidly changing agricultural extension. Farmers and extension workers can increasingly ask questions using text, voice, or photographs and receive immediate responses in their own language. AI can help diagnose field problems, interpret data, and turn large collections of agricultural information into answers relevant to a particular farmer. But the principles of good extension have not changed: start with farmers' needs, use reliable agricultural knowledge, test recommendations locally, and verify that advice is accurate and practical. Faster delivery of poor information is still poor information.
Early applications show what is possible. Digital Green's FarmerChat lets farmers and extension workers ask agricultural questions by voice, text, or photograph and receive localized advice. AI-based image recognition is also increasingly allowing farmers and extension workers to photograph a crop problem and obtain a preliminary diagnosis. The greatest opportunity may not be to replace extension workers, but to give farmers and extension workers better access to trusted, locally relevant information when and where they need it.
A word of caution: Verify AI recommendations for technical accuracy, local relevance, and practicality, especially where errors could affect livelihoods, human or animal health, or the environment. AI should support, not replace, field observation, local knowledge, and qualified professional judgment.
Where AI fits in: ASK ME
AI helps most in the middle of the process and least at the ends. It is a powerful tool for finding, adapting, and delivering information, but it cannot replace knowing your audience or checking what actually changed in the field.
See Fact Sheet for more - AI in Extension
- Audience and Needs
- AI can: Summarize reports, survey responses, and query records to help identify the problems farmers face and what they are asking.
- People: Provide local context, determine what matters most, and identify who may be missing from the information, including farmers who were never asked.
- Solutions
- AI can: Search and summarize large amounts of technical information quickly and identify possible solutions for review.
- People: Decide what is credible, locally relevant, practical, and likely to benefit farmers.
- Key Message
- AI can: Simplify and shorten technical information and adapt it for different audiences and languages.
- People: Verify that the message is technically correct, locally relevant, and actionable.
- Message Form and Delivery
- AI can: Draft and translate materials, provide voice-based information, and answer questions at any hour in a farmer's own language.
- People: Build trust and determine the best ways to reach farmers given the local context.
- Evaluation
- AI can: Analyze open-ended feedback and identify patterns in farmer questions, responses, and other data.
- People: Verify what happened in the field, including whether farmers actually changed practices and whether those changes produced the expected benefits.
AI can be confidently wrong, and a well-written answer isn't necessarily correct. Four things to be aware of:
- Accuracy. Errors, for example, in pesticide rates, medication dosages, or animal treatment can cause real harm. Check critical recommendations before they reach a farmer.
- Language. Quality can vary across languages, dialects, and technical agricultural terms. Test with local users.
- Sources. AI may provide incorrect or even nonexistent references. If you cannot verify the source, don't rely on it as evidence.
- Unequal access. Using AI needs a suitable phone, connectivity, data, and digital skills, potentially excluding poorer farmers, women, and other underserved groups.
Use AI to help search, draft, translate, and adapt, but have a knowledgeable person check anything a farmer will act on.
