Animal Detection for Crop Protection Using Deep Learning: Insights from YOLO V3, R-CNN, Random Forest

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Animal Detection for Crop Protection Using Deep Learning: Insights from YOLO V3, R-CNN, Random Forest

Crop damage caused by animals is a significant challenge faced by farmers worldwide. Traditional methods for crop protection are often ineffective and labor-intensive. This paper explores the use of deep learning for real-time animal detection in agricultural settings. A deep learning model is train...

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Bibliographic Details
Main Authors:	G., Ramya, J., Sreeja, K., Jyothi, J., Radhika, R., Vigneshwari
Format:	Article
Language:	English English
Published:	INTI International University 2025
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software SF Animal culture
Online Access:	http://eprints.intimal.edu.my/2150/ http://eprints.intimal.edu.my/2150/1/jods2025_08.pdf http://eprints.intimal.edu.my/2150/2/693

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