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Madhya Pradesh Becomes First State to Use AI for Real-Time Forest Monitoring

Madhya Pradesh has become the first state to implement an AI-based real-time alert system on a pilot basis for active forest management using satellite images, mobile feedback, and machine learning
Indian Masterminds Stories

Bhopal: In a groundbreaking step towards forest conservation and active environmental governance, Madhya Pradesh has become the first state in India to implement an AI-based real-time forest alert system. The move is being hailed as a historic milestone in leveraging technology to combat forest crimes and preserve biodiversity.

The system, which integrates artificial intelligence, satellite imagery, machine learning, and mobile feedback, is designed to detect land encroachment, forest degradation, and unauthorized land-use changes. The innovation enables swift response and real-time monitoring by forest officials, significantly improving protection against forest mafia, poachers, and illegal timber traders.

A Technological Leap in Forest Governance

Conceived by 2016 batch IFS officer and Divisional Forest Officer of Guna, Mr Akshay Rathore, and implemented with support from Chief Forest Conservator Aseem Srivastava and Additional Principal Chief Forest Conservator (IT) B.S. Annigeri, the AI system operates through Google Earth Engine. It analyzes multi-temporal satellite data using a custom-built AI model to flag suspicious changes in forest landscapes.

“The strength of this system lies in the continuous loop of satellite-based alert generation, mobile-based field feedback, and AI model retraining. It learns and evolves, improving accuracy and reducing false positives over time,” said Rathore.

Key Features of the System:

  • Polygon-based alerts generated from significant pixel changes
  • Field staff receive alerts via a mobile app and upload GPS-tagged photos, voice notes, and comments
  • System generates over 20+ data attributes per alert, including NDVI, SAVI, EVI, and SAR indices
  • Real-time dashboard access for DFOs, including filters by date, density, area, and field posts
  • Geofencing and distance measurement capabilities for better situational awareness
  • Integration of feedback loop to refine AI model based on on-ground validation

Pilot Launch in 5 Sensitive Divisions

The system has been launched as a pilot project in five forest divisions known for high incidents of encroachment and tree felling: Shivpuri, Guna, Vidisha, Burhanpur, and Khandwa. Based on the success of these pilots, plans are underway for statewide implementation.

A Model for the Nation

Officials believe this innovation will set a precedent for other states to follow. By combining cutting-edge technology with grassroots enforcement, Madhya Pradesh is aiming for a transformational shift in forest management.

“This system empowers our staff not just to monitor, but to act in real time. It is a game-changer in forest protection,” said a senior official from the Forest Department.

As AI continues to shape governance, Madhya Pradesh’s bold step is likely to inspire a new era of tech-enabled environmental stewardship across the country.


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