Applied AI & Data Science
Crop AdvisoryModelImprovement
Crop AdvisoryModel Improvement
ImprovedApplied AI
LLM and image-processing work aimed at improving the reliability of a crop advisory workflow.
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
LLMsImage processing
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.
Future direction
Develop this into a case about AI reliability, domain context, and decision support.