Vision in the field
AI disease detection in MkulimaOS.
A coffee estate with 26,000+ plants cannot afford to miss leaf rust early. Field workers photograph plants from their phones during routine inspection rounds. The image goes to Claude Vision via the MkulimaOS mobile app; Claude returns a structured diagnosis: threat identified, confidence level, recommended action, and block location tied to the GPS coordinates from the same submission.
Threats it catches: coffee leaf rust, coffee berry borer, antestia bug damage, and general stress indicators. The result is logged against the block record and surfaced to the estate manager dashboard before end of day. No agronomist visit required for first-level triage.