A Combination of Data Augmentation Techniques for Mango Leaf Diseases Classification

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W5UOG

Analysis of data techniques for classifying mango leaf diseases using advanced algorithms.

A Combination of Data Augmentation Techniques for Mango Leaf Diseases Classification

Demba Faye
Demba Faye University Cheikh Anta DIOD of Dakar, Senegal
Idy Diop
Idy Diop
Doudou Dione
Doudou Dione
DOI

Abstract

Mango is one of the most traded fruits in the world. Therefore, mango production suffers from several pests and diseases which reduce the production and quality of mangoes and their price in the local and international markets. Several solutions for automatic diagnosis of these pests and diseases have been proposed by researchers in the last decade. These solutions are based on Machine Learning (ML) and Deep Learning (DL) algorithms. In recent years, Convolutional Neural Networks (CNNs) have achieved impressive results in image classification and are considered as the leading methods for image classification.

A Combination of Data Augmentation Techniques for Mango Leaf Diseases Classification

Mango is one of the most traded fruits in the world. Therefore, mango production suffers from several pests and diseases which reduce the production and quality of mangoes and their price in the local and international markets. Several solutions for automatic diagnosis of these pests and diseases have been proposed by researchers in the last decade. These solutions are based on Machine Learning (ML) and Deep Learning (DL) algorithms. In recent years, Convolutional Neural Networks (CNNs) have achieved impressive results in image classification and are considered as the leading methods for image classification.

Demba Faye
Demba Faye University Cheikh Anta DIOD of Dakar, Senegal
Idy Diop
Idy Diop
Doudou Dione
Doudou Dione

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Demba Faye. 2026. “. Global Journal of Computer Science and Technology – G: Interdisciplinary GJCST-G Volume 23 (GJCST Volume 23 Issue G1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: DDC Code: 813.54 LCC Code: PS3553.I78
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A Combination of Data Augmentation Techniques for Mango Leaf Diseases Classification

Demba Faye
Demba Faye University Cheikh Anta DIOD of Dakar, Senegal
Idy Diop
Idy Diop
Doudou Dione
Doudou Dione

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