Forest plays a crucial role in maintaining the ecological balance of our planet. It is unfortunate that this balance is under threat due to the practice of logging, where trees are logged from forest. This destructive activity depletes forest cover and disrupts the ecosystem putting numerous species at risk of extinction. The proposed system monitors the forest by utilizing sensor and neural networks which ensures protection against logging activities. The system utilizes a combination of tilt, IR and temperature sensors strategically placed to detect anomalies in the forest. Upon the breach of predefined thresholds in sensor data, the system triggers the activation of buzzers and water pumps, providing an immediate response mechanism to mitigate potential threats. The system remains vigilant in detecting forest fires, which pose another threat to the ecosystem. This synergistic methodology entails the aggregation, processing, and notification, presenting a robust toolset for conservation initiatives.
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Khallikkunaisa et al. (2024) studied this question.
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