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

Author:

Ireri David,Belal Eisa,Okinda Cedric,Makange Nelson,Ji Changying

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference39 articles.

1. Computer vision based date fruit grading system: design and implementation;Al Ohali;J. King Saud Univ. –Comput. Inf. Sci.,2011

2. Computer vision based fruit grading system for quality evaluation of tomato in agriculture industry;Arakeri;Procedia Comput. Sci.,2016

3. Online tomato sorting based on shape, maturity, size, and surface defects using machine vision;Arjenaki;Turk. J. Agric. For.,2013

4. Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm;Blasco;J. Food Eng.,2007

5. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol. (TIST),2011

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