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@article{179946,
        author = {ABINESH KT and LOKESH S and M Janarthanan and T Saranya},
        title = {SMART CROPS PROTECTION SYSTEM USING MOBILENETV2},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8572-8576},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179946},
        abstract = {The project aims to develop a smart system 
for detecting and deterring wildlife intrusions in 
agricultural fields. By leveraging the MobileNetV2 deep 
learning model, the system identifies animals in real
time from images captured by cameras installed in the 
field. Upon detection, the system triggers specific 
predator sounds to deter the animals and sends 
notifications to the field owner. In case of dangerous 
animals like tigers or lions, the system also initiates a 
voice call to alert the owner immediately. The 
integration of Twilio API facilitates SMS and voice 
notifications, ensuring timely alerts. This project 
addresses the critical issue of crop damage caused by 
wildlife, and also it can protect the wild animals from 
the traditional way of poison's and electrical fence, 
providing an innovative and automated solution to 
enhance crop protection and safety.},
        keywords = {},
        month = {May},
        }