YOLO Network-Based for Detection of Rice Leaf Disease-Reference-Cited by-同舟云学术

YOLO Network-Based for Detection of Rice Leaf Disease

Published:2023-08-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Information Technology Research and Innovation (ICITRI)
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Author:

Aziz Faruq¹,Ernawan Ferda²,Fakhreldin Mohammad³,Adi Prajanto Wahyu⁴

Affiliation:

1. Universitas Nusa Mandiri,Faculty of Information Technology,Indonesia

2. Universiti Malaysia Pahang,Faculty of Computing,Malaysia

3. Jazan University,Faulty of Computer Science & Information Technology,Saudi Arabia

4. Universitas Diponegoro,Faculty of Science and Mathematics,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249212/10249253/10249843.pdf?arnumber=10249843

Reference19 articles.

1. Rice leaf diseases prediction using deep neural networks with transfer learning;prasad;Environ Res,2021

2. Computer vision based approach to detect rice leaf diseases using texture and color descriptors

3. A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework

4. Detection and classification of rice plant diseases using Image Processing Techniques;bandara;Int Conf Adv Res Comput,0

5. Deep feature based rice leaf disease identification using support vector machine

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