An Image Analysis-Based Automated Method using Deep Learning for Grain Counting

In the process of quality analysis of grains, number counting is one of the key steps for agricultural production. Traditional manual grain counting methods are time-consuming and subject to human error, and automated methods have the potential to improve accuracy and save time. In this study, we ai...

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Bibliographic Details

Published in:	2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS) pp. 25 - 30
Main Authors:	Ajikaran, Ramesh, Hewarathna, Ashen Iranga, Palanisamy, Vigneshwaran, Joseph, Charles, Thuseethan, Selvarajah
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.08.2023
Subjects:	Deep learning grain counting Grain size Manuals Object detection Production smart agriculture Tagging Training YOLO
ISBN:	9798350323627
Online Access:	Get full text
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