Technology-driven agriculture, Madhya Pradesh is integrating advanced digital tools to make crop management more accurate, transparent, and efficient. Through the state-developed ‘SARA’ and ‘Unnati’ Agri-GIS systems, satellite imagery, drone surveys, and real-time field photographs are being analysed using Artificial Intelligence (AI) and Machine Learning (ML).
This initiative has provided a strong scientific foundation for crop monitoring and production assessment, enabling farmers to receive the benefits of government schemes in a more transparent and timely manner.
According to the state government, the ‘Unnati’ platform and ‘SARA’ application have transformed crop mapping and field survey processes by fully integrating modern technology. Using deep learning techniques, millions of field images captured through the ‘SARA’ app are analysed to accurately verify the type of crops sown at the ground level. This has replaced traditional estimation methods with precise, data-driven decision-making, ensuring reliable and real-time information.
Smart crop mapping is being carried out using satellite imagery combined with advanced models such as Random Forest algorithms. This allows crop identification at the land parcel (Khasra) level. Additionally, yield forecasts for notified crops are being generated at the ‘Patwari Halka’ level, helping improve agricultural planning, procurement systems, and crop insurance processes.
The adoption of these technologies has led to a notable improvement in accuracy. While crop assessment accuracy stood at around 66% in 2022, it has increased to nearly 85% by 2025. During the recent Rabi and Kharif seasons, over 53.7 million field images were analysed, enabling real-time crop identification. More than 30 million land parcels have been digitally mapped, with ongoing verification of crop data and digital crop surveys. Since 2023, crop production assessments are also being carried out across nearly 22,000 ‘Patwari Halka’ regions.
Benefits for Farmers and Insurance Systems:
The integration of geospatial technology, AI, and ML is proving highly beneficial for farmers, surveyors, and crop insurance companies. It enables timely and accurate assessment of crop losses, especially in the event of climate-related risks and natural disasters.
FAQs:
Q1: What is the SARA app?
A: SARA is a state-developed application that captures field images and uses AI to verify crop types for accurate crop management.
Q2: How does Unnati platform help farmers?
A: Unnati integrates satellite data and AI to provide smart crop mapping and real-time production assessment.
Q3: What is the accuracy of digital crop surveys?
A: Accuracy has improved from 66% in 2022 to around 85% in 2025, ensuring reliable crop data.
Q4: How do AI and ML help in agriculture?
A: AI and ML analyze millions of images, identify crop types, forecast yields, and support insurance and procurement processes.
Q5: How can farmers benefit from this technology?
A: Farmers gain timely, transparent, and precise insights into crop health, loss assessment, and access to government schemes.
