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...
Saved in:
Main Authors: | , , , |
---|---|
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!
|