Context-aware
Starts with the farmer’s crop, stage and field conditions.
AI-powered farm decision intelligence
Turning climate uncertainty into smarter farming decisions.
Mbeu combines farmer-reported field conditions with weather information, structured decision rules and AI-supported interpretation—helping farmers understand what is happening, what action to consider now, why it matters and what to watch next.
Developed in Zimbabwe by TENCHIG Initiative
Mbeu
Your Farm Advisory
What to do now
Review field moisture before planning the next crop action.
Why it matters
Farm observations and weather context are considered together.
What to watch next
Monitor rainfall, crop condition and visible changes in the field.
The decision gap
Farmers don't just need more information. They need help making decisions.
Weather forecasts and agricultural information are valuable. But farmers still need to translate that information into decisions relevant to their crop, growth stage and field conditions.
“Given the conditions on my farm right now, what should I do next?”
Why Mbeu
Built around decisions, not just information.
Climate-informed
Combines local context with relevant weather information.
Decision-oriented
Organises evidence around practical action and follow-up.
Human-centred AI
Makes structured analysis easier to understand.
Designed for learning
Built to support real-world testing and responsible iteration.
Product status
From working MVP to real-world evidence.
The core product workflow is functional. The next phase is a structured farmer pilot designed to test quality, usability, safety, feasibility and cost.
- Functional MVP developed
- Farm-data capture and validation operational
- Weather-data integration operational
- Decision-engine workflow operational
- AI-supported farmer advisory operational
- Real-world farmer pilot — next phase
Build the evidence with us