A Novel Framework for Multi-Classification of Guava Disease

Author:

Almutiry Omar,Ayaz Muhammad,Sadad Tariq,Ullah Lali Ikram,Mahmood Awais,Ul Hassan Najam,Dhahri Habib

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Cited by 14 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. A Framework for Guava Wilt Disease Segmentation Using K-Means Clustering and Neural Network Techniques;VAWKUM Transactions on Computer Sciences;2024-05-25

2. Fruit and Vegetable Classification and Freshness Detection using Machine learning;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

3. Multi-class Guava Disease Classification using an Efficient and Fine-Tuned DenseNet model;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Automatic detection and classification of disease in citrus fruit and leaves using a customized CNN based model;Boletin Latinoamericano y del Caribe de Plantas Medicinales y Aromaticas;2024-03-30

5. From Detection to Action: Managing Guava Diseases Using CNN and Random Forest Models;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14

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