Integration of the Internet of Things (IoT) into the Field Rat Pest Control System for Adaptive Ultrasonic Frequency Monitoring and Control
Keywords:
Internet of Things (IoT), Adaptive Ultrasonic Control, Field Rat Pest Management, Smart Agriculture, Sustainable Pest ControlAbstract
Field rat infestations remain a major challenge in rice-based agricultural systems, causing significant yield losses and threatening the sustainability of food production. Conventional rat control methods, including mechanical traps, chemical rodenticides, and fixed-frequency ultrasonic devices, have shown limited long-term effectiveness due to labor intensity, environmental risks, and rodent habituation. This research aims to develop and evaluate an Internet of Things (IoT)based adaptive ultrasonic pest control system that enables real-time monitoring and dynamic frequency adjustment to improve the effectiveness of field rat management in rice fields. The study employed an applied experimental approach involving system design, IoT integration, field deployment, and performance evaluation. Sensor nodes were installed to monitor rat activity and environmental conditions, while ultrasonic emitters were controlled adaptively based on real-time data. Field experiments were conducted by comparing plots equipped with the proposed adaptive system and those using non-adaptive ultrasonic control. The results indicate that the IoT-based adaptive ultrasonic system achieved a sustained reduction in detected rat activity and demonstrated greater effectiveness than conventional fixed-frequency ultrasonic devices. The system also showed reliable operation under real-field conditions, although limitations related to network connectivity, environmental variability, and partial behavioral adaptation were observed. Overall, this research demonstrates that integrating IoT technology with adaptive ultrasonic control provides a viable, non-chemical, and scalable solution for field rat pest management. The findings contribute to the advancement of precision agriculture and support the development of smart and sustainable pest control systems with strong potential for real-world agricultural adoption.
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