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International Journal of Multidisciplinary and Scientific
Emerging Research (IJMSERH)

|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|

|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|

|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|

Article

TITLE Artificial Intelligence for Agriculture Field Protection
ABSTRACT The arrival of wild animals into agricultural regions, causing considerable loss of agricultural yield, is a rising issue in India. Fencing security measures are high and are usually ineffective. The AI solution discussed in this paper employs YOLO (you only look once), a real-time object detection system that can identify animals, for example, Yolo, elephants, and monkeys. The device forces animals out of the way when an animal is detected by sending a sound signal specific to that species. The innovative preventative system can suggest to the small-scale farmer an affordable, flexible, and scalable solution
AUTHOR Pramukh K S S, Dr Sunitha G P
PUBLICATION DATE 2025-08-26 11:10:41
VOLUME 13
ISSUE 3
DOI 10.15662/IJMSERH.2025.1303054
PDF pdf/2025/7/54_Artificial Intelligence for Agriculture Field Protection.pdf
KEYWORDS

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