AI-Based Real-Time Forest Management System in Madhya Pradesh

Overview

Madhya Pradesh has launched a pioneering AI-driven system that integrates satellite imagery, mobile feedback, and machine learning to monitor and manage forest areas in real time. This system is currently being tested as a pilot project in five sensitive forest divisions: Shivpuri, Guna, Vidisha, Burhanpur, and Khandwa, which have experienced significant encroachments and tree felling incidents.

Key Features

• Satellite Imagery Analysis: The system utilizes Google Earth Engine to analyze multi-temporal satellite data, identifying changes in land use such as encroachments, agricultural activities, and construction.
• Mobile Feedback Integration: Field staff receive real-time alerts on their mobile devices, enabling them to verify and respond to potential issues promptly.
• Machine Learning Models: Custom AI models process the data to detect anomalies and predict potential threats to forest areas, facilitating proactive management.
• Real-Time Alerts: The system provides immediate notifications to forest officials, allowing for swift action to address detected issues.

Institutional Support

The project is being implemented under the leadership of Chief Conservator of Forests (Hoff) Aseem Srivastava and Additional Principal Chief Conservator of Forests (IT) B.S. Anigiri, with institutional backing from the Madhya Pradesh Forest Department.