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

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[2]	Mango fruit disease detection and classification using MobileNetV3_large model Scientific African, 2025 DOI:10.1016/j.sciaf.2025.e03061

[3]	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

[4]	Advanced Informatics for Computing Research Communications in Computer and Information Science, 2025 DOI:10.1007/978-3-031-84062-3_27

[5]	Detecting Mango Leaf Diseases Using Google Teachable Machine for Sustainable Agriculture 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2025 DOI:10.1109/ICAIIC64266.2025.10920854

[6]	ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence Computers, 2025 DOI:10.3390/computers14050171

[7]	Information Systems for Intelligent Systems Smart Innovation, Systems and Technologies, 2025 DOI:10.1007/978-981-96-1210-9_8

[8]	Symptom-based early detection and classification of plant diseases using AI-driven CNN+KNN Fusion Software (ACKFS) Software Impacts, 2025 DOI:10.1016/j.simpa.2025.100755

[9]	MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification IEEE Access, 2025 DOI:10.1109/ACCESS.2025.3571450

[10]	Intelligent Disease Detection in Mango Leaves: A CNN-SVM Approach 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2025 DOI:10.1109/ICAISS61471.2025.11042118

[11]	Proceedings of the 4th International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’24) Lecture Notes in Networks and Systems, 2025 DOI:10.1007/978-3-031-94623-3_35

[12]	Mango Disease Detection Using Fused Vision Transformer with ConvNeXt Architecture Computers, Materials & Continua, 2025 DOI:10.32604/cmc.2025.061890

[13]	Deep Rooted Connections: Cultivating Human-Plant-Computer Interaction Across Cultures and Technologies Proceedings of the Fifth Biennial African Human-Computer Interaction Conference , 2025 DOI:10.1145/3757232.3757240

[14]	Signal Processing, Telecommunication and Embedded Systems: Automation and Sustainability Applications Lecture Notes in Electrical Engineering, 2025 DOI:10.1007/978-981-96-7253-0_3

[15]	DeepLeafNet: A Novel Deep Learning Approach for Mango Leaf Disease Segmentation and Classification with Optimization Algorithms SN Computer Science, 2025 DOI:10.1007/s42979-025-04504-1

[16]	An investigation on advances in transfer learning and explainable AI for mango leaf disease detection Smart Agricultural Technology, 2025 DOI:10.1016/j.atech.2025.101348

[17]	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

[18]	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

[19]	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

[20]	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

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

[22]	MDCN: Modified Dense Convolution Network Based Disease Classification in Mango Leaves Computers, Materials & Continua, 2024 DOI:10.32604/cmc.2024.047697

[23]	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

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

[25]	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

[26]	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

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