Karnataka Crop Advisory Dataset — 39 Crops, 31 Districts, Semi-Synthetic

A semi-synthetic crop advisory dataset built for Karnataka, India.Covers 39 crops across 31 districts, 3 seasons (Kharif, Rabi, Zaid),and 10 agro-climatic zones. Total 21,960 rows, 12 features, zero null values. Features: N, P, K (soil nutrients), temperature, humidity, pH, rainfall,soil_type, season, district, region, label (target crop). Constructed using verified primary sources:- IMD: District-level seasonal rainfall normals- NBSS&LUP 1998: Karnataka soil classification maps- ICAR 2017: Crop NPK requirements and production guidelines- UAS Bangalore / IISc: Agro-climatic zone classification Random Forest classifier trained on this dataset achieves 91.33% accuracyon stratified 80/20 test split. Built as part of BE Final Year Project — Smart Crop Advisory System,DSCE Bangalore, 2026. Guide: Dr. Nagarathna. https://www.kaggle.com/datasets/rmeghaganesh/karnataka-crop-dataset-for-ml-models