Stubble Burning Detection and Prevention using Machine Learning and Blockchain

Stubble Burning Detection and Prevention using Machine Learning and Blockchain

Stubble burning in India contributes significantly to air pollution by emitting harmful gases and particles into the atmosphere. This annual practice is responsible for the severe pollution that envelops the country every winter, particularly in the National Capital Region. Lower temperatures and st...

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Bibliographic Details
Published in:2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) pp. 661 - 666
Main Authors: Faridi, Arman Rasool, Hafeez, Aiman, Masood, Faraz, Salmony, Monir Yahya
Format: Conference Proceeding
Language:English
Published: Bharati Vidyapeeth, New Delhi 15-03-2023
Subjects:
Air Pollution
Blockchain
Decentralized applications
Gases
Government
Image Detection
Information security
Machine learning
Satellites
Smart contracts
Stubble Burning
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Summary:Stubble burning in India contributes significantly to air pollution by emitting harmful gases and particles into the atmosphere. This annual practice is responsible for the severe pollution that envelops the country every winter, particularly in the National Capital Region. Lower temperatures and steadier air in winter exacerbate the impact of rice stubble burning. However, research on using machine learning with blockchain to address this problem is limited. This study aims to provide a conceptual framework for using machine learning and blockchain to prevent and detect stubble burning. With the help of machine learning and satellite images, areas originating the pollution can be identified. This can be done with pre-processed images sent to pre-trained models to identify the place of origin of the pollution. If the pollution crosses a threshold limit, then the location will be stored in the blockchain. A decentralized application will be created from where these details can be accessed by concerned authorities.