Mango Diseases Classification Solutions Using Machine Learning or Deep Learning: A Review

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Journal of Computer and Communications

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"Mango Diseases Classification Solutions Using Machine Learning or Deep Learning: A Review"
written by Demba Faye, Idy Diop, Doudou Dione,
published by Journal of Computer and Communications, Vol.10 No.12, 2022

has been cited by the following article(s):

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[1]	Implementation of Convolutional Neural Network (CNN) for Image Classification of Leaf Disease In Mango Plants Using Deep Learning Approach
	… Research Journal of …, 2024

[2]	MangoDB-A TJC Mango Dataset for Deep-Learning-Based on Classification and Detection in Precision Agriculture
	2024 4th …, 2024

[3]	Classification of Mango Leaf Disease using Machine Learning to Enhance Yield Productivity
	J. Electrical Systems, 2024

[4]	Deep Insights into Mango Scab: An AI-Powered Approach for Detection and Classification
	… on Advances in …, 2024

[5]	A combination of data augmentation techniques for mango leaf diseases classification
	Glob. J. Comput. Sci. Technol, 2023

[6]	Detección de la enfermedad de mancha negra bacteriana (cancrosis) en los cultivos de mango (Mangifera indica L.) de la provincia de Formosa, Argentina
	2023

[7]	Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
	2023 IEEE 8th …, 2023

[8]	Enhancing mango disease diagnosis through eco-informatics: A deep learning approach
	Ecological Informatics, 2023

[9]	MangoSpot: A Hybrid CNN-SVM Model for Multi-Classification of Mango Leaf Spot Disease Based on Seriousness Levels
	2023 3rd …, 2023

[10]	Mango Disease Detection System Using CNN and SVM: A Comparative Study with Traditional Diagnostic Methods
	… World Conference on …, 2023

[11]	MDCN: Modified Dense Convolution Network Based Disease Classification in Mango Leaves

[1]	Residual network-based feature extraction for automatic crop disease detection system using drone image dataset International Journal of Intelligent Unmanned Systems, 2025 DOI:10.1108/IJIUS-08-2024-0248

[2]	Deep Insights into Mango Scab: An AI-Powered Approach for Detection and Classification 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2024 DOI:10.1109/ICAECT60202.2024.10468676

[3]	MangoDB - A TJC Mango Dataset for Deep-Learning-Based on Classification and Detection in Precision Agriculture 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024 DOI:10.1109/ICARC61713.2024.10499698

[4]	MangoDB - A TJC Mango Dataset for Deep-Learning-Based on Classification and Detection in Precision Agriculture 2024 4th International Conference on Advanced Research in Computing (ICARC), 2024 DOI:10.1109/ICARC61713.2024.10499698

[5]	Enhanced detection of mango leaf diseases in field environments using MSMP-CNN and transfer learning Computers and Electronics in Agriculture, 2024 DOI:10.1016/j.compag.2024.109636

[6]	Mango Leaf Disease Classification Utilizing InceptionV3 Deep Learning Model 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), 2024 DOI:10.1109/CVMI61877.2024.10782246

[7]	ICT Systems and Sustainability Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-97-8537-7_6

[8]	Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023 DOI:10.1109/I2CT57861.2023.10126397

[9]	Enhancing mango disease diagnosis through eco-informatics: A deep learning approach Ecological Informatics, 2023 DOI:10.1016/j.ecoinf.2023.102216

[10]	MangoSpot: A Hybrid CNN-SVM Model for Multi-Classification of Mango Leaf Spot Disease Based on Seriousness Levels 2023 3rd International Conference on Intelligent Technologies (CONIT), 2023 DOI:10.1109/CONIT59222.2023.10205376

[11]	Mango Disease Detection System Using CNN and SVM: A Comparative Study with Traditional Diagnostic Methods 2023 World Conference on Communication & Computing (WCONF), 2023 DOI:10.1109/WCONF58270.2023.10235224

[12]	Enhancing mango disease diagnosis through eco-informatics: A deep learning approach Ecological Informatics, 2023 DOI:10.1016/j.ecoinf.2023.102216

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