A Comprehensive Investigation to Cauliflower Diseases Recognition: An Automated Machine Learning Approach-Reference-Cited by-同舟云学术

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A Comprehensive Investigation to Cauliflower Diseases Recognition: An Automated Machine Learning Approach

Published:2022-01-21 Issue:1 Volume:12 Page:32
ISSN:2460-6952
Container-title:International Journal on Advanced Science, Engineering and Information Technology
language:
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Author:

Rajbongshi Aditya,Islam Md. Ezharul,Mia Md. Jueal,Sakif Tahsin Islam,Majumder Anup

Publisher

Insight Society

Subject

General Engineering,General Agricultural and Biological Sciences,General Computer Science

Cited by 11 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. Automatic Cauliflower Disease Detection Using Fine-Tuning Transfer Learning Approach;SN Computer Science;2024-08-23

2. Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8;Frontiers in Plant Science;2024-04-18

3. A comprehensive analysis of feature ranking-based fish disease recognition;Array;2024-03

4. Brassica Black Rot Severity Levels classification based on Multimodal Convolutional Neural Networks and Support Vector Machines;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition;Array;2023-12

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