A computer vision system for defect discrimination and grading in tomatoes using machine learning and image processing

With large-scale production and the need for high-quality tomatoes to meet consumer and market standards criteria, have led to the need for an inline, accurate, reliable grading system during the post-harvest process. This study introduced a tomato grading machine vision system based on RGB images....

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Bibliographic Details
Main Authors: David Ireri, Eisa Belal, Cedric Okinda, Nelson Makange, Changying Ji
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-06-01
Series:Artificial Intelligence in Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721719300194

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