Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{188044,
        author = {Chandana M and Ashwini Veeranna Padashetti and Asha DC and Abhilasha Kanavi and Asst Professor Nataraja N and Asst Professor Niveditha V K},
        title = {Underground Pest and Rodent detection using IOT and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {760-762},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188044},
        abstract = {Pest infestations pose a serious threat to agriculture, which is still a crucial industry for maintaining human existence and world economies. Among these, rodents and underground pests are especially harmful since they work beneath the soil's surface, causing crop loss, root damage, and soil degradation without being immediately apparent. An extensive underground rodent and pest detection system based on machine learning (ML) is presented in the proposed work. The framework continuously collects data from subterranean environments using IoT-enabled sensors like motion sensors, vibration detectors, sound sensors, and soil-condition monitors. Hardware, software, and communication layers are all integrated into the system architecture. Subterranean sensor networks and microcontrollers (such as the ESP32 and Raspberry Pi) for data collection make up the hardware. Smooth data transfer is made possible via wireless communication protocols including LoRa, ZigBee, and Wi-Fi. The project's goal is to give farmers an automated early warning system that avoids crop damage, cuts down on pesticide misuse and lowers farming expenses. In addition to protecting agricultural output, early pest detection improves soil health, resource efficiency, and sustainability. Because it allows for tailored pest management interventions instead of indiscriminate chemical spraying, The suggested approach promotes environmentally beneficial farming practices. Its uses go beyond agricultural fields to include forests, grain storage facilities and urban infrastructure (such as pipelines and sewage systems where rodents are a frequent problem).},
        keywords = {},
        month = {December},
        }