Deep learning for medium-scale agricultural crop detection through aerial view images

This research project focuses on utilizing two state-of-the-art YOLOv4-based deep learning models, for large-scale agricultural crop detection using Unmanned Aerial Vehicles (UAVs). The objective is to develop an accurate and efficient crop detection system capable of identifying chili crops, eggpla...

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Bibliographic Details

Main Authors:	Lau, Wei Hong, Mohd Azraai, Mohd Razman, Mohd Izzat, Mohd Rahman, Muhammad Nur Aiman, Shapiee
Format:	Article
Language:	en
Published:	Penerbit UMP 2023
Subjects:	S Agriculture (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/38095/1/Deep%20Learning%20for%20Medium_Scale%20Agricultural%20Crop%20Detection.pdf http://umpir.ump.edu.my/id/eprint/38095/ https://doi.org/10.15282/mekatronika.v5i1.9415
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