Non-destructive watermelon ripeness determination using image processing and artificial neural network (ANN)

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Non-destructive watermelon ripeness determination using image processing and artificial neural network (ANN)

Agriculture products are being more demanding in market today. To increase its productivity, automation to produce these products will be very helpful. The purpose of this work is to measure and determine the ripeness and quality of watermelon. The textures on watermelon skin will be captured using...

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Bibliographic Details
Published in:	World Academy of Science, Engineering and Technology
Main Author:	Shah Rizam M.S.B.; Farah Yasmin A.R.; Ahmad Ihsan M.Y.; Shazana K.
Format:	Article
Language:	English
Published:	2009
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-77649303416&partnerID=40&md5=21d52ce14948265a66d57102e5418fe7

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