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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42034
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
On account of farmlands or rural terrains reconnaissance is vital to keep unapproved individuals from accessing the region as well as to shield the region from animals. Different techniques point just at observation which is basically for human interlopers, yet we will quite often fail to remember that the primary adversaries of such ranchers are the animals which obliterate the harvests. Crop damage brought about by animal assaults is one of the significant dangers in lessening the harvest yield. Because of the extension of developed land into past wildlife territory, crop striking is becoming one of the most alienating human-wildlife clashes. Effective and solid checking of the wild animals’ right in their natural habitat is fundamental. This project fosters an algorithm to identify the animals that intrudes into the agriculture land. Since there are enormous number of various animals physically distinguishing them can be a troublesome undertaking. This calculation arranges animals in view of their pictures so we can screen them all the more proficiently. This can be accomplished by applying yolo v3 algorithms which is a powerful real- time object detection algorithms.
KEYWORDS
Publication Date
3/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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