Crop Pest Control using IoT Real-Time Monitoring and Intervention

Utilizing Internet of Things technology, which enables real-time monitoring and response, this study proposes a game-changing strategy for agricultural pest management. Utilizing Internet of Things (IoT) sensors, cutting-edge data analytics, and machine learning algorithms, the proposed system can detect and identify vermin. Real-time decisions can be made in the fight against vermin, facilitating immediate action that maximizes the available resources. The proposed strategy has been shown to be effective in the field, saving money by reducing insect infestation intensity and improving agricultural output. Cost-benefit analysis and environmental impact evaluations are also used to examine the technique's long-term profitability and environmental tolerance. Since it advances the state of the art in precision farming and addresses the critical problem of insect management in the agricultural sector, this study achieves the goal of developing modern and sustainable agriculture.