Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model-Reference-Cited by-同舟云学术

Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model

Published:2023-10 Issue: Volume:125 Page:106736
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Eric Opoku^ORCID,Gyening Rose-Mary Owusuaa Mensah,Appiah Obed^ORCID,Takyi Kate^ORCID,Appiahene Peter

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference48 articles.

1. Feature extraction for cocoa bean digital image classification prediction for smart farming application;Adhitya;Agronomy,2020

2. Changes in biochemical and physico-chemical qualities during drying of pulp preconditioned and fermented cocoa (Theobroma cacao) beans;Afoakwa;J. Nutr. Health Food Sci.,2014

3. An intelligent approach for detecting palm tree diseases using image processing and machine learning;Alaa;Int. J. Adv. Comput. Sci. Appl.,2020

4. Preliminary study on the development of cocoa beans fermentation level measurement based on computer vision and artificial intelligence;Anggraini,2021

5. Supervised methods applied to the construction of a vision system for the classification of cocoa beans in the cut-test;Antunes,2019

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