Convolutional Neural Network (CNN) EfficientNet-B0 Model Architecture for Paddy Diseases Classification-Reference-Cited by-同舟云学术

Convolutional Neural Network (CNN) EfficientNet-B0 Model Architecture for Paddy Diseases Classification

Published:2023-10-04 Issue: Volume: Page:
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Container-title:2023 14th International Conference on Information & Communication Technology and System (ICTS)
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Author:

Ahdi Moh. Wafiyul¹,Khalid ¹,Kunaefi Anang¹,Nugroho Bayu Adhi¹,Yusuf Ahmad¹

Affiliation:

1. Sunan Ampel State Islamic University, Surabaya,Faculty of Science and Technology,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330802/10330826/10330828.pdf?arnumber=10330828

Reference27 articles.

1. Rice for Food Security: Revisiting Its Production, Diversity, Rice Milling Process and Nutrient Content

2. Central Bureau of Statistics;In 2022, the rice harvest area is estimated at 10.61 million hectares with a production of around 55.67 million tonnes of GKG,2022

3. Climate change impacts and the rice farmers' responses at irrigated upstream and downstream in Indonesia

4. Identification and recognition of rice diseases and pests using convolutional neural networks

5. Emerging Minor Diseases of Rice in India: Losses and Management Strategies

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