Mobile-Based Deep Learning for Yam Disease Diagnosis-Reference-Cited by-同舟云学术

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Mobile-Based Deep Learning for Yam Disease Diagnosis

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
language:
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Author:

Akinlolu Azeez Olawale¹,Odejobi Odetunji Ajadi²,Ajayi Francis Oluwadamilare³,Jimoh Ebunayo Rachael⁴

Affiliation:

1. Fountain University Osogbo,Department of Mathematical and Computer Sciences,Osogbo,Nigeria

2. Osun State University,Department of Computer Science,Osogbo,Nigeria

3. Osun State University,Department of Agricultural Economics and Extension,Osogbo,Nigeria

4. Crown- Hill University,Ilorin,Kwara,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124483.pdf?arnumber=10124483

Reference26 articles.

1. Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

2. Deep learning for detection cassava leaf disease

3. Performance analysis of deep learning CNN models for disease detection in plants using image segmentation

4. Expert system for diagnosis pests and diseases of the rice plant using forward chaining and certainty factor method

5. Detection of plant leaf diseases using image segmentation and soft computing techniques

Cited by 1 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. CNN-LSTM Model for Mitigation of DDoS Attacks in Software-Defined Networks;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

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