Early Detection of Potato Leaf Pest and Disease Using EfficientNet and ConvNeXt Architecture-Reference-Cited by-同舟云学术

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Early Detection of Potato Leaf Pest and Disease Using EfficientNet and ConvNeXt Architecture

Published:2023-12-06 Issue: Volume:16 Page:167-172
ISSN:
Container-title:2023 7th International Conference on New Media Studies (CONMEDIA)
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Author:

Irmawati ¹,Kristiyanti Dinar Ajena¹,M Tika Adilah²,Shabrina Nabila Husna³,Indarti Siwi⁴,Prastomo Niki⁵

Affiliation:

1. Universitas Multimedia Nusantara,Department of Information System,Tangerang,Banten,Indonesia,15111

2. Universitas Bina Sarana Informatika,Department of Information Technology,Jakarta Pusat,Jakarta,Indonesia,10450

3. Universitas Multimedia Nusantara,Department of Computer Engineering,Tangerang,Banten,Indonesia,5111

4. Universitas Gadjah Mada,Department of Plant Protection,Sleman,Yogyakarta,Indonesia,55281

5. Universitas Multimedia Nusantara,Department of Engineering Physics,Tangerang,Banten,Indonesia,15111

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428117/10428106/10428527.pdf?arnumber=10428527

Reference32 articles.

1. Introduction to the Special Issue on the Nutritional Value of Potato

2. Management of potato pests and diseases in Africa

3. Grading Method of Leaf Spot Disease Based on Image Processing

4. Plant Disease Detection Using Different Algorithms

5. A review of deep learning techniques used in agriculture

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