Iot Alert Observation of Prohibited Deforestation Regions with Drone Surveillance

Authors

  • Garima Srivastava, Jayashree Nair, Manish Kaushik, Ashutosh Mishra, Ganesh Kumar R, Kantilal Pitambar Rane

DOI:

https://doi.org/10.17762/msea.v70i2.2093

Abstract

In terms of the environment, deforestation causes biodiversity loss as well as climatic change, which harms natural ecosystems. It causes conflicts over land and other resources, which mainly damage communities globally. Due to degradation in forest exploitation, it becomes vulnerable in terms of land diversity, which tends to release excessive carbon dioxide and also cause greenhouse gases. Mainly, forest loss and degradation cause a total of 10% gross damage, which leads to global warming. This technique allows management or an authorized individual to identify the location of the trafficking via GPS as well as the manner in which it is done, including such tree-cutting, fires, or the intense heat in the forest as it is indeed difficult to stop illegal trafficking of trees. Bots in green establishment of effective forest management and surveillance can benefit greatly from IoT. Collecting and using basic forestry data presents various challenges for emerging economies. To respond effectively to areas and make better judgments, person who is in charge of maintaining forests and ecological issues can benefit from data about daily forestry, burned zone evaluation, and forest infraction monitoring. When individuals are unable to provide assistance, the proposed system has a low-tech, IOT-based structure to detect illegal tree trafficking. IoT technology with sensors, which is effective and affordable, monitors human behavior, fires inside the forest, and illicit deforestation.

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Published

2021-02-26

How to Cite

Garima Srivastava, Jayashree Nair, Manish Kaushik, Ashutosh Mishra, Ganesh Kumar R, Kantilal Pitambar Rane. (2021). Iot Alert Observation of Prohibited Deforestation Regions with Drone Surveillance. Mathematical Statistician and Engineering Applications, 70(2), 940–951. https://doi.org/10.17762/msea.v70i2.2093

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Section

Articles