Deep Learning Technique Detection for Cotton and Leaf Classification Using the YOLO Algorithm-Reference-Cited by-同舟云学术

Deep Learning Technique Detection for Cotton and Leaf Classification Using the YOLO Algorithm

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 International Conference on Smart Information Systems and Technologies (SIST)
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Author:

Susa Julie Ann B.¹,Nombrefia Wendy C.²,Abustan Alfredo S.³,Macalisang Jonel⁴,Maaliw Renato R.¹

Affiliation:

1. College of Engineering, Southern Luzon State University,Lucban,Quezon,Philippines

2. Southern Luzon State University,Agriculture Department,Infanta,Quezon,Philippines

3. Southern Luzon State, University,Industrial Technology Department,Infanta,Quezon,Philippines

4. Technological University of the Philippines,Technology Licensing Office- ITSO,Manila,Philippines

Publisher

IEEE

Link

Reference28 articles.

1. Deep Learning-Based Image Processing for Cotton Leaf Disease and Pest Diagnosis;azath;Journal of Electrical and Computer Engineering,2021

2. Disease Detection of Cotton Leaves Using Advanced Image Processing;chaudhari;International Journal of Advanced Computer Research,2014

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1. Cotton Leaf Disease Prediction and Diagnosis Using Deep Learning;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. Implementation and Evaluation of Various Deep Learning Models for the Diagnosis of Cotton Leaf Diseases;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

4. Cotton Field Pest Recognition Based on Gradient Descent Mechanism and Large Convolutional Kernel Network;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26