UZHAVAN
AI

1. 01 · FIELD
   வயல்
2. 02 · CROP
   பயிர்
3. 03 · LEAF
   இலை
4. 04 · AI
   செயற்கை நுண்ணறிவு

● IN DEVELOPMENTPROJECT STATUS

1. PROBLEM

   Farm advice should be in Tamil and grounded in local agricultural knowledge, weather and crop conditions, not generic guidance.

   SOURCE · RESUME

2. SYSTEM

   A Tamil-first agricultural decision-support system combining TNAU-grounded knowledge, weather-aware recommendations, crop and disease intelligence, and agricultural scheme information retrieval.

   SOURCE · RESUME

3. SOLUTION

   ML pipelines for crop classification and yield prediction, developed and evaluated.

   SOURCE · RESUME

4. RESULT

   F1 = 0.839 for crop classification and RMSE = 749 kg/ha for yield prediction. Still in development: no deployment, user or coverage figures are published.

   SOURCE · RESUME

0.839

F1 · CROP CLASSIFICATION

SOURCE · RESUME

749

RMSE · KG/HA · YIELD PREDICTION

SOURCE · RESUME

LOADING SIMULATION

• TNAU-grounded knowledgeSOURCE · RESUME
• Weather-aware recommendationsSOURCE · RESUME
• Crop and disease intelligenceSOURCE · RESUME
• Agricultural scheme information retrievalSOURCE · RESUME
• ML pipelines for crop classification and yield prediction, developed and evaluatedSOURCE · RESUME