Evidence before generation
Structured evidence and decision rules come before AI-supported explanation.
Responsible technology
Responsible AI for agricultural decision support
Mbeu is designed so that AI supports interpretation and communication—it is not positioned as a substitute for evidence, measurements or agronomic expertise.
Agronomic validation
Recommendations should be reviewed against relevant agronomic knowledge and local conditions.
Human oversight
People remain responsible for design, review, escalation and learning.
Farmer privacy
Farmer information should be collected and handled with care, purpose and appropriate safeguards.
Transparent limitations
Mbeu should communicate uncertainty, boundaries and when professional advice is needed.
Continuous monitoring and learning
Real-world use should inform ongoing checks, improvement and responsible adaptation.
People remain central
Technology should strengthen—not displace—trusted agricultural judgement.
Mbeu is intended to complement—not replace—farmers' experience, extension officers and qualified agricultural professionals.
Build the evidence with us