Dry fruit image classification using stacking ensemble model

Dry fruit image classification using stacking ensemble model

Precise and efficient classification of dry fruit images is critical for enhancing quality control, efficiency, and safety in the agricultural and food industries. This study presents a CNN-based classification model developed to analyze a diverse dataset of dry fruit images. The dataset comprises 1...

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Bibliographic Details
Main Authors: Maheen Islam, Mujahidul Islam, Alfe Suny, Abdullah Al Rafi, Abdullahi Chowdhury, Mohammad Manzurul Islam, Saleh Masum, Md Sawkat Ali, Taskeed Jabid, Md Mostofa Kamal Rasel
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Agriculture and Food Research
Subjects:
Dry fruits
Stacking
Ensemble
Image classification
Machine learning
Nutrition
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154325002212
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