Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

Principal Aspects of the Book:

- It presents the study of the variability of mango quality at the harvest stage, during post-harvest storage and due to cultivar difference.

- It presents the study of the potential of four different cameras (monochrome, color, ultra-violet and near-infra-red) in a computer vision system for quality evaluation of a mango.

- The development of an algorithm for the extraction of various morphological features of a mango fruit using each camera setup.

- The development of algorithms for the detection of the defects on the surface of a mango fruit using a monochrome and color (RGB) camera computer vision system.

- The development of an algorithm for bruise detection just below the peel of a mango fruit using near infra-red camera-based computer vision system.

- The investigation of various types of defects responsible for the loss of quality of a mango and its market value using UV camera-based computer vision system.

- Mathematical models were developed for predicting the mass and volume of the fruit using various morphological features, geometrical characteristics and derivative parameters as the independent variables

1136276736
Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

Principal Aspects of the Book:

- It presents the study of the variability of mango quality at the harvest stage, during post-harvest storage and due to cultivar difference.

- It presents the study of the potential of four different cameras (monochrome, color, ultra-violet and near-infra-red) in a computer vision system for quality evaluation of a mango.

- The development of an algorithm for the extraction of various morphological features of a mango fruit using each camera setup.

- The development of algorithms for the detection of the defects on the surface of a mango fruit using a monochrome and color (RGB) camera computer vision system.

- The development of an algorithm for bruise detection just below the peel of a mango fruit using near infra-red camera-based computer vision system.

- The investigation of various types of defects responsible for the loss of quality of a mango and its market value using UV camera-based computer vision system.

- Mathematical models were developed for predicting the mass and volume of the fruit using various morphological features, geometrical characteristics and derivative parameters as the independent variables

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Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

Studies on Destructive and Non-Destructive Quality Evaluations of Mango Fruit

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Overview

Principal Aspects of the Book:

- It presents the study of the variability of mango quality at the harvest stage, during post-harvest storage and due to cultivar difference.

- It presents the study of the potential of four different cameras (monochrome, color, ultra-violet and near-infra-red) in a computer vision system for quality evaluation of a mango.

- The development of an algorithm for the extraction of various morphological features of a mango fruit using each camera setup.

- The development of algorithms for the detection of the defects on the surface of a mango fruit using a monochrome and color (RGB) camera computer vision system.

- The development of an algorithm for bruise detection just below the peel of a mango fruit using near infra-red camera-based computer vision system.

- The investigation of various types of defects responsible for the loss of quality of a mango and its market value using UV camera-based computer vision system.

- Mathematical models were developed for predicting the mass and volume of the fruit using various morphological features, geometrical characteristics and derivative parameters as the independent variables


Product Details

ISBN-13: 9781647607425
Publisher: Notion Press Media Pvt Ltd
Publication date: 01/25/2020
Pages: 376
Product dimensions: 6.00(w) x 9.00(h) x 0.84(d)
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