An optimized Faster R-CNN model for Cassava Brown Streak Disease Classification-Reference-Cited by-同舟云学术

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An optimized Faster R-CNN model for Cassava Brown Streak Disease Classification

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)
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Author:

R Rajasree¹,Latha C. Beulah Christalin¹,Paul Sujni²,M Appu³,N Aswathy⁴

Affiliation:

1. Karunya Institute of Technology and Sciences,Department of Digital Sciences,Coimbatore,India

2. Higher College of Technology,Department of Computer Science,Dubai,UAE

3. Sree Narayana Guru College,Department of Computer Science,Coimbatore,India

4. Adi Sankara Institute of Engineering and Technology,Department of Electronics and Communication Engineering,Ernakulam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199116/10199143/10200536.pdf?arnumber=10200536

Reference25 articles.

1. Designing the distribution network in a cassava supply chain in Thailand

2. Cassava industry in Thailand: Prospects;piyachomkwan;J R Inst Thail,2011

3. Cassava brown streak disease: a threat to food security in Africa

4. Inbound logistics cassava starch planning: With application of GIS and K-means clustering methods in Thailand

5. A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

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1. An Optimized YOLO v5 Model for Tomato Leaf Disease Classification with Field Dataset;Engineering, Technology & Applied Science Research;2023-12-05

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