#6846. Online double-sided identification and eliminating system of unclosed-glumes rice seed based on machine vision

January 2027publication date
Proposal available till 26-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Instrumentation;
Electrical and Electronic Engineering;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №6846.1 Contract №6846.2 Contract №6846.3 Contract №6846.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
An online double-sided identification and eliminating system based on machine vision was developed to identify the unclosed-glumes rice seed by analyzing its double-sided image simultaneously. The vibrating plate and linear vibration conveyor achieved the transfer of rice seed from disordering to spacing, and the identified unclosed-glumes rice seed was eliminated by the blowing jet. Hough linear detection and extracted feature were used to identify the unclosed-glumes rice seeds. The algorithm achieved the accuracy of 88.1% for normal seeds and 87.7% for unclosed-glumes seeds when using double-sided image acquired online. Multi-thread processing was used for double-sided images to shorten the code execution time. The online double-sided identification and eliminating system achieved the average accuracy of 83.7% for normal seeds and 83.3% for unclosed-glumes seeds. Results show that the system has a good adaptation of different rice seed varieties and achieved desired accuracy for online identification and eliminating of unclosed-glumes rice seed.
Keywords:
Double-sided identification; Eliminating system; Machine vision; Unclosed-glumes rice seed

Contacts :
0