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@article{196045,
        author = {Neelappagari Jayaram Divya and Purushotham B and Beeralinga K and Sugan Raj},
        title = {Krushi Rakshak – An AI-Powered Smart Crop Protection System for Farmers},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3532-3534},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196045},
        abstract = {Crop damage caused by wild animals is a major challenge for farmers, especially in rural areas located near forests. Frequent intrusion of animals such as monkeys, wild boars, elephants, and deer results in severe agricultural losses and increases conflict between humans and wildlife. This paper presents Krushi Rakshak, an AI-powered smart crop protection system designed to detect, identify, and deter animals entering farmland.
The proposed system uses a camera to capture live images from the field. A Machine Learning model processes the images in real time to detect and recognize the type of animal present. Based on the identified animal, the system automatically activates a suitable sound alert through a controller and speaker system. The sound is selected according to the animal type so that it can safely drive the animal away without causing harm.
Krushi Rakshak is designed as a low-cost, farmer-friendly, and automated solution that works continuously without human monitoring. The system reduces crop loss, saves labour, and provides an eco-friendly approach to crop protection.},
        keywords = {Artificial Intelligence, Machine Learning, Crop Protection, Animal Detection, Smart Farming, Wildlife Intrusion, Precision Agriculture.},
        month = {April},
        }