Classification of Sunflower Foliar Diseases Using Convolutional Neural Network-Reference-Cited by-同舟云学术

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Classification of Sunflower Foliar Diseases Using Convolutional Neural Network

Published:2021-05 Issue: Volume: Page:
ISSN:
Container-title:2021 23rd International Conference on Control Systems and Computer Science (CSCS)
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Author:

Dawod Rodica Gabriela,Dobre Ciprian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9480801/9480980/09481042.pdf?arnumber=9481042

Cited by 5 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. Decoding Sunflower Downy Mildew: Leveraging Hybrid Deep Learning for Scale Severity Analysis;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower;Agronomy;2024-03-29

3. Deep Learning Approaches for Sunflower Disease Classification: A Study of Convolutional Neural Networks with Squeeze and Excitation Attention Blocks;Bitlis Eren Üniversitesi Fen Bilimleri Dergisi;2024-03-24

4. Enhancing Sunflower Disease Identification with CNN-SVM Integration;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

5. Machine Learning-Based Detection and Severity Assessment of Sunflower Powdery Mildew: A Precision Agriculture Approach;Bursa Uludağ Üniversitesi Ziraat Fakültesi Dergisi;2023-12-08

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