Comparative Study Of Deep Learning Algorithms For Disease And Pest Detection In Rice Crops-Reference-Cited by-同舟云学术

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Comparative Study Of Deep Learning Algorithms For Disease And Pest Detection In Rice Crops

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Burhan Syeda Airas,Minhas Sidra,Tariq Amara,Nabeel Hassan Muhammad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9218228/9223118/09223239.pdf?arnumber=9223239

Cited by 42 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. Detection of rice pests based on RepMob-Yolo;Journal of Physics: Conference Series;2024-08-01

2. Enhanced crop health monitoring: attention convolutional stacked recurrent networks and binary Kepler search for early detection of paddy crop issues;Environmental Monitoring and Assessment;2024-05-20

3. Rice Disease Classification for Eastern Shan State Using Deep Learning;2024 IEEE Conference on Computer Applications (ICCA);2024-03-16

4. Computer Vision-Based Automated Detection and Severity Grading of Rice Spot Disease for Precision Management;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

5. Crop Disease Analysis and Detection using GoogleNet Model;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

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