Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces

Optimization of Cocoa Pods Maturity Classification Using Stacking and Voting with Ensemble Learning Methods in RGB and LAB Spaces

Determining the maturity of cocoa pods early is not just about guaranteeing harvest quality and optimizing yield. It is also about efficient resource management. Rapid identification of the stage of maturity helps avoid losses linked to a premature or late harvest, improving productivity. Early dete...

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Bibliographic Details
Main Authors: Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Diarra Mamadou, Pierre Gouton
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Imaging
Subjects:
cocoa pod
ensemble learning
color spaces
GLCM
voting
stacking
Online Access:https://www.mdpi.com/2313-433X/10/12/327
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