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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 5, MAY 2021

Wild Animal Detection in Farm using Image Processing and Machine Learning

Tushar Atkare, Snehal Khalkar, Pallavi Mandekar, Ganesh Kolhe, Anita Gawali

DOI: 10.17148/IJARCCE.2021.105125

Abstract: The state-of-the-art technique for animal detection and alerting for crop protection with the goal of achieving high precision with a real-time performance in addition to overcome the disadvantages of the traditional system this computer vision-based system will add more efficiency. In earlier, traditional system consist sensors and registers to identify the movement of object. Some human interventions are required to handle the traditional system, overcome that problems this Image processing based system will work efficiently. The resulting system is fast and accurate, thus aiding those applications which require animal detection.

Keywords: Smart Farming, Wild Animal, Image Processing, Machine Learning, Computer Vision technique.

How to Cite:

[1] Tushar Atkare, Snehal Khalkar, Pallavi Mandekar, Ganesh Kolhe, Anita Gawali, “Wild Animal Detection in Farm using Image Processing and Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.105125