A Deep Learning-based Approach for Banana Leaf Diseases Classification

By Jihen Amara, B. Bouaziz, Alsayed Algergawy. Datenbanksysteme für Business, Technologie und Web, 2017

512 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9fcecc67da35c6af6defd6825875a49954f195e9

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Citations in the corpus

Deep learning in agriculture: A survey (2018, methodology): “In the banana leaf classification problem (Amara et al., 2017), the model was robust under challenging conditions such as illumination, complex background, different resolution, size and orientation of the images.”
A review of the use of convolutional neural networks in agriculture (2018, background): “Convolutional neural networks seem to generalize well (Pan and Yang, 2010) and they are quite robust even under challenging conditions such as illumination, complex background, size and orientation of the images, and different resolution (Amara et al ., 2017).”
Plant Disease Detection and Classification by Deep Learning—A Review (2021, background): “But for the datasets with only a few or dozens of images, the transfer learning method also has the problem of low recognition accuracy [23].”
Plant leaf disease classification using EfficientNet deep learning model (2021, background): “In PlantVillage dataset, most of the studies (Amara et al., 2017; Brahimi et al., 2017; Cruz et al., 2017; Durmus et al., 2017; Rangarajan et al., 2018; Sibiya and Sumbwanyambe, 2019; Wallelign et al., 2018; Yamamoto et al., 2017; Zhang et al., 2018b) classify the diseases of a single plant species.”
Plant Disease Detection and Classification by Deep Learning (2019, methodology): “In order to detect the diseases in banana leaf, LeNet architecture was implemented and CA, F1-score were used for the evaluation of the model in Color and Gray Scale modes [32].”
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques (2021, methodology): “[17] used the LeNet model to accurately distinguish healthy and diseased banana leaves, achieving a 99.”
Tomato Leaf Disease Detection Using Convolutional Neural Networks (2018, background): “The authors of [1] propose an approach where they detect and classify banana leaf diseases namely Banana sigatoka and Banana speckle.”
Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection (2019, methodology): “[31] PlantVillage (1/3) 3700 3700 Re Modified LeNet No 92.”
Machine Learning Applications for Precision Agriculture: A Comprehensive Review (2021, methodology): “[75] used LeNet based CNN architecture for disease detection in banana leaves.”
Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review (2020, background): “S114 [151] 2017 3 Based LeNet 92,88% PlantVillage Subset 3.”