Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment-Reference-Cited by-同舟云学术

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment

Published:2024-06 Issue: Volume:132 Page:107945
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Olisah Chollette C.,Trewhella Ben^ORCID,Li Bo^ORCID,Smith Melvyn L.,Winstone Benjamin,Whitfield E. Charles^ORCID,Fernández Felicidad Fernández,Duncalfe Harriet

Funder

Innovate UK

Publisher

Elsevier BV

Reference42 articles.

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3. Classification of cape gooseberry fruit according to its level of ripeness using machine learning techniques and different colour spaces;Castro;IEEE Access,2019

4. Determination of “Hass” avocado ripeness during storage based on smartphone image and machine learning model;Cho;Food Bioprocess Technol.,2020

5. Xception: deep learning with depthwise separable convolutions;Chollet,2017

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