Evaluation of banana and pear fruit maturity stages using laser backscattering images, artificial neural network and support vector machine techniques

Evaluation of banana and pear fruit maturity stages using laser backscattering images, artificial neural network and support vector machine techniques

Consumers considered ripeness of fruit as a very important factor in making choices of purchase. Ripeness in fruit generally affects their eating quality and market price. Quality attributes of fruit determined the extent of its acceptability and satisfaction by the consumers. Many quality attribute...

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Bibliographic Details
Main Author: Emmanuel, Adebayo Segun
Format: Thesis
Language:English
Published: 2017
Subjects:
Food industry and trade - Quality control
Artificial intelligence - Agricultural applications
Agricultural innovations
Online Access:http://psasir.upm.edu.my/id/eprint/71199/
http://psasir.upm.edu.my/id/eprint/71199/1/FK%202017%2065%20-%20IR%28170%29edited.pdf

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