A real-time application-based convolutional neural network approach for tomato leaf disease classification

Picó "Viral diseases causing the greatest economic losses to the tomato crop. II. The Tomato yellow leaf curl virus — a review" Sci Hortic (1996) 10.1016/s0304-4238(96)00945-4

[2]

Lindhout "Further identification of races of Cladosporium fulvum (Fulvia fulva) on tomato originating from The Netherlands France and Poland" Neth J Plant Pathol (1989) 10.1007/bf01999969

[3]

Kubota "Tomato mosaic virus replication protein suppresses virus-targeted posttranscriptional gene silencing" J Virol (2003) 10.1128/jvi.77.20.11016-11026.2003

[4]

Tian "A second kazal-like protease inhibitor from Phytophthora infestans inhibits and interacts with the apoplastic pathogenesis-related protease P69B of tomato" Plant Physiol (2005) 10.1104/pp.105.061226

[5]

Chaerani "Tomato early blight (Alternaria solani): the pathogen, genetics, and breeding for resistance" J Gen Plant Pathol (2006) 10.1007/s10327-006-0299-3

[6]

Gao "‘Studies on pathogenicity differentiation of Corynespora cassiicola isolates, against cucumber, tomato and eggplant" Acta Hortic Sin (2011)

[7]

Dickey "Papaya (carica papaya , Brassicales: caricaceae) is not a host plant of tomato yellow leaf curl virus (Tylcv; family geminiviridae , genus Begomovirus)" Fla Entomol (2012) 10.1653/024.095.0136

[8]

Abdulridha "Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques" Precis Agric (2020) 10.1007/s11119-019-09703-4

[9]

Foolad "Genetics, genomics and breeding of late blight and early blight resistance in tomato" Crit Rev Plant Sci (2008) 10.1080/07352680802147353

[10]

Concepcion "“Tomato septoria leaf spot necrotic and chlorotic regions computational assessment using artificial Bee colony-optimized leaf disease index,”" (2020)

[11]

Two-Spotted Spider Mite.Available : https://entomology.ca.uky.edu/ef310 [Accessed 9 December 2022].

[12]

Tomato yellow leaf curl virus.Available : https://en.wikipedia.org/w/index.php?title=Tomato_yellow_leaf_curl_virus&oldid=1113057182 [Accessed 9 December 2022].

[13]

Tomato mosaic virus. Available : https://en.wikipedia.org/w/index.php?title=Tomato_mosaic_virus&oldid=1046270277 [Accessed 9 December 2022].

[14]

Powdery mildew on tomatoes. Available : https://blogs.cornell.edu/livegpath/gallery/tomato/powdery-mildew-on-tomatoes/[Accessed 9 December 2022].

[15]

Blancard (2012)

[16]

Tapping the economic and nutritional power of vegetables

Pepijn Schreinemachers, Emmy B. Simmons, Marco C.S. Wopereis

Global Food Security 2018 10.1016/j.gfs.2017.09.005

[17]

Tomato news. Available : https://www.tomatonews.com/[Accessed 15 November 2022].

[18]

Basavaiah "“Tomato leaf disease classification using multiple feature extraction techniques,”" Wireless Pers Commun (2020) 10.1007/s11277-020-07590-x

[19]

Tm "Tomato leaf disease detection using convolutional neural networks" (2018)

[20]

ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network

Mohit Agarwal, Abhishek Singh, Siddhartha Arjaria et al.

Procedia Computer Science 2020 10.1016/j.procs.2020.03.225

[21]

Zhang "Can deep learning identify tomato leaf disease?" Adv Multimed (2018)

[22]

Ahmad "Optimizing pretrained convolutional neural networks for tomato leaf disease detection" Complexity (2020)

[23]

Mia "Cucumber disease recognition using machine learning and transfer learning" Bull EEI (2021) 10.11591/eei.v10i6.3096

[24]

Biswas "Feature ranking based carrot disease recognition using MIFS method" (2022)

[25]

Chen "Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet" Comput Electron Agric (2020) 10.1016/j.compag.2020.105730

[26]

Thangaraj "Automated tomato leaf disease classification using transfer learning-based deep convolution neural network" J Plant Dis Prot (2021) 10.1007/s41348-020-00403-0

[27]

Zhao "Tomato leaf disease diagnosis based on improved convolution neural network by attention module" Agriculture (2021) 10.3390/agriculture11070651

[28]

Kananan E "Tomato leaf disease detection using convolutional neural network with data augmentation" (2020)

[29]

Elhassouny "Smart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks" (2019)

[30]

Chen "AlexNet convolutional neural network for disease detection and classification of tomato leaf" Electronics (2022) 10.3390/electronics11060951

[31]

Nagamani "Tomato leaf disease detection using deep learning techniques" Int J Adv Comput Sci Appl (2022)

[32]

Weight Initialization Schemes - Xavier (Glorot) and He. Available: https://mmuratarat.github.io//2019-02-25/xavier-glorot-he-weight-init [Accessed 9 December 2022].

[33]

Activation Functions and their Derivatives – A Quick & Complete Guide. Available : https://www.analyticsvidhya.com/blog/2021/04/activation-functions-and-their-derivatives-a-quick-complete-guide/[Accessed 9 December 2022].

[34]

Adam. Available : https://optimization.cbe.cornell.edu/index.php?title=Adam[Accessed 9 December 2022].

[35]

Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names. Available : https://gombru.github.io/2018/05/23/cross_entropy_loss/[Accessed 9 December 2022].

[36]

Keras Applications. Available : https://keras.io/api/applications/[Accessed 9 December 2022].

[37]

Simonyan (2014)

[38]

Understanding the VGG19 Architecture. Available : https://iq.opengenus.org/vgg19-architecture/[Accessed 9 December 2022].

[39]

Khan (2022)

[40]

Confusion matrix.Available : https://en.wikipedia.org/w/index.php?title=Confusion_matrix&oldid=1107701525 [Accessed 9 December 2022].

[41]

Showmick (2023)

Cited By

88

Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review

Aritra Das, Fahad Pathan · 2025

Artificial Intelligence in Agricult...

Research on tomato disease image recognition method based on DeiT

Changxia Sun, Yong Li · 2025

European Journal of Agronomy

CustomBottleneck-VGGNet: Advanced tomato leaf disease identification for sustainable agriculture

Mohamed Zarboubi, Abdelaaziz Bellout · 2025

Computers and Electronics in Agricu...

Metrics

88

Citations

41

References

Details

Published: Sep 01, 2023
Vol/Issue: 19
Pages: 100313
License: View

Authors

Mohammad Ashraful Islam

Cite This Article

Showmick Guha Paul, Al Amin Biswas, Arpa Saha, et al. (2023). A real-time application-based convolutional neural network approach for tomato leaf disease classification. Array, 19, 100313. https://doi.org/10.1016/j.array.2023.100313

A real-time application-based convolutional neural network approach for tomato leaf disease classification

You May Also Like