An optimized YOLO-based object detection model for crop harvesting system

The adoption of automated crop harvesting system based on machine vision may improve productivity and optimize the operational cost. The scope of this study is to obtain visual information at the plantation which is crucial in developing an intelligent automated crop harvesting system. This paper ai...

Full description

Saved in:
Bibliographic Details
Main Authors: Junos, Mohamad Haniff, Mohd Khairuddin, Anis Salwa, Thannirmalai, Subbiah, Dahari, Mahidzal
Format: Article
Published: Wiley 2021
Subjects:
Online Access:http://eprints.um.edu.my/26781/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items