Tomato Plant Leaf Disease Classification based on CNN features and Support Vector Machines

Author:

Mezenner Amine1,Nemmour Hassiba1,Chibani Youcef1,Hafiane Adel2

Affiliation:

1. University of Sciences and Technology,Houari Boumediene (USTHB),Laboratoire d’Ingénierie des Systèmes Intelligents et Communicants (LISIC),Algiers

2. Univ. Orléans, PRISME, EA 4229,INSA-CVL,Bourges,France,F18022

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tomato Guard: A Predictive Model for Disease Prediction and Treatment Recommendation in Tomato Plants;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

2. Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module;Big Data and Cognitive Computing;2024-05-23

3. CNN Ensembles for Pear Leaf Disease Severity Estimation;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

4. Potato Disease Detection and Recognition Using Deep Learning;2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT);2023-09-08

5. A Comprehensive Review on Deep Learning and Machine Learning Approaches for Tomato Leaf Disease Identification;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

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