Identification of Sunflower Leaf Diseases Based on Random Forest Algorithm-Reference-Cited by-同舟云学术

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Identification of Sunflower Leaf Diseases Based on Random Forest Algorithm

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)
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Author:

Liu Jun,Lv Fang,Di Penghui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9039858/9050991/09051094.pdf?arnumber=9051094

Cited by 15 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. MSCR-FuResNet: A Three-Residual Network Fusion Model Based on Multi-Scale Feature Extraction and Enhanced Channel Spatial Features for Close-Range Apple Leaf Diseases Classification under Optimal Conditions;Horticulturae;2024-09-06

2. Innovative Fusion for Sunflower Leaf Disease Identification: CNN and Random Forest Strategies;2024 IEEE AITU: Digital Generation;2024-04-03

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

4. Leaf disease classification with Multiple-model deep learning;Journal of Intelligent & Fuzzy Systems;2024-01-10

5. Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs;Lecture Notes in Networks and Systems;2024

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