Clustering Based Segmentation with 1D-CNN Model for Grape Fruit Disease Detection

Author:

Pareek Piyush Kumar1,I M Ramya2,N Jagadeesh B2,M LeenaShruthi H2

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

2. East West Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

Publisher

IEEE

Cited by 5 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. Recognition and Classification of Apple and Sugarcane Plant Leaf Diseases using SVM with DAE Models;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. Deciphering Consumer Skin Care Needs: Analyzing Sentiments and Review Topics of Cetaphil Facial Wash Across Diverse Skin Types;2023 International Conference on Information Technology and Computing (ICITCOM);2023-12-01

3. White Shark Optimizer Based Modified CNN Model for Segmentation and Classification of Tomato Plant Leaves;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

4. Three Dimensional DenseUNet with CKHA Segmentation Technique for Monkeypox Disease Prediction;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. A Plant Disease Classification Algorithm Based on Attention MobileNet V2;Algorithms;2023-09-13

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