Bacterial Blight and Cotton Leaf Curl Virus Detection Using Inception V4 Based CNN Model for Cotton Crops

Author:

Anwar Sohail1,Kolachi Abdul Rahim2,Baloch Shadi Khan2,Soomro Shoaib R.1

Affiliation:

1. Mehran University of Engineering & Technology,Dept. of ElectronicEngineering,Jamshoro,Pakistan

2. Mehran University of Engineering & Technology,Dept. of Mechatronics Engg.,Jamshoro,Pakistan

Publisher

IEEE

Reference24 articles.

1. Leaf Disease Detection Using Image Processing By Cnn;kavita;Novateur Publications International Journal Of Innovations In Engineering Research And Technology,2021

2. Survey of Convolutional Neural Network

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1. Cotton Leaf Disease Based on Image Processing Using Deep Learning;2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET);2024-06-07

2. Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants;Artificial Intelligence in Agriculture;2024-06

3. A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques;Cogent Food & Agriculture;2024-04-26

4. Early Cotton Plant Disease Detection using Drone Monitoring and Deep Learning;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

5. Enhancing Crop Health Monitoring: A Hybrid CNN-RF Model for Early Detection and Fine-Grained Classification of Cotton Bacterial Blight;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

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