IEEE - Institute of Electrical and Electronics Engineers, Inc. - ANN Diagnostic System for Various Grades of Yellow Flesh Watermelon based on the Visible light and NIR properties

2018 4th International Conference on Electrical, Electronics and System Engineering (ICEESE)

Author(s): Noor Ezan Abdullah ; Nina Korlina Madzhi ; Abg Mohd Azamudin Abg Yahya ; Azraa Afhzan A. Rahim ; Anis Diyana Rosli
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2018
Conference Location: Kuala Lumpur, Malaysia, Malaysia
Conference Date: 8 November 2018
Page(s): 70 - 75
ISBN (Electronic): 978-1-5386-5045-5
DOI: 10.1109/ICEESE.2018.8703498
Regular:

There are various traditional methods to identify the quality of the watermelon such as ripeness, grades and others. Amongst of them were from destructively technique and may need the knowledge... View More

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