Map My Crop Transforms Sugarcane Farming for Indian Growers

Map My Crop, in partnership with Microsoft, ADT Baramati, and Oxford University, deployed an AI-driven Satellite Crop Monitoring Platform that transformed traditional sugarcane farming practices in Baramati, Maharashtra, India. The solution included real-time remote sensing, AI-based agronomic advisory, and Variable Rate Application fertilizer mapping, enabling farmers to act on data-driven insights for better yield and resource management. The project compared AI-managed plots versus traditionally managed ones, showing substantial gains: onboarding over 1000 farmers in days, reducing input costs by 41%, improving yields from 70 to 120 tons/acre, and minimizing necessary farm visits by 75%. AI-powered analysis on the Microsoft platform provided direct recommendations for irrigation, nutrient use, and pest control, improving both operational efficiency and overall crop health. AI-predicted crop growth metrics like plant height, cane weight, and sucrose content showed consistent improvement. By integrating AI with remote sensing and precision agriculture, Map My Crop's platform demonstrated scalability, sustainability, and the potential for significant gains in productivity and profitability, serving as a replicable model for smart farming across India.