AI + DATA SCIENCE
Crop Advisory
Model
Improvement
LLM and image-processing work aimed at making a crop advisory workflow more useful in high-context farm decisions.
Changed
Improved the practical usefulness of an advisory workflow; exact public metrics are not shown here.
Took away
AI in agriculture needs reliability, context, and practical usefulness before it deserves trust.
Tools / frame
Context
Agricultural advisory tools need useful outputs in practical, high-context situations.
Problem
Image-led advisory workflows need stronger reliability before they can support confident decisions.
Contribution
Worked on improving Crop Doctor model accuracy through LLM integration and better image processing.
Tools used
Impact / learning
Improved the practical usefulness of an advisory workflow; exact public metrics are not shown here.
AI in agriculture needs reliability, context, and practical usefulness before it deserves trust.
Future direction
Develop this into a case about AI reliability, domain context, and decision support.