Papaya Leaf Disease Identification using ResNet with Transfer Learning-Reference-Cited by-同舟云学术

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Papaya Leaf Disease Identification using ResNet with Transfer Learning

Published:2023-11-17 Issue: Volume:8 Page:101-105
ISSN:
Container-title:2023 8th International Conference on Robotics and Automation Engineering (ICRAE)
language:
Short-container-title:

Author:

Madelo Hari Krisna L.¹,Prieto Jeanette C.¹,Bajao John Richard D.¹,Bacus John A.¹

Affiliation:

1. Computer Engineering Program College of Engineering Education, University of Mindanao,Davao City,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458411/10458442/10458541.pdf?arnumber=10458541

Reference22 articles.

1. Papaya Diseases,2023

2. Papaya leaf diseases,2023

3. Development of a mobile application for detection of papaya anthracnose;Kumar;Journal of Entomology and Zoology Studies,2020

4. Development of a smartphone-based image recognition system for the detection of papaya anthracnose;Suresh;Journal of Entomology and Zoology Studies,2020

5. Evaluation of the efficacy of different image recognition algorithms for the detection of papaya bacterial leaf spot;Bharti;Journal of Entomology and Zoology Studies,2022

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