Strawberry Pests and Diseases Detection Technique Optimized for Symptoms Using Deep Learning Algorithm-Reference-Cited by-同舟云学术

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Strawberry Pests and Diseases Detection Technique Optimized for Symptoms Using Deep Learning Algorithm

Published:2022-07-31 Issue:3 Volume:31 Page:255-260
ISSN:1229-4675
Container-title:Journal of Bio-Environment Control
language:en
Short-container-title:J. Bio-Env. Con.

Author:

Choi Young-Woo^ORCID,Kim Na-eun^ORCID,Paudel Bhola¹,Kim Hyeon-tae²

Affiliation:

1. Graduate Student, Department of Bio-Systems Engineering, Graduate School of Gyeongsang National University, Jinju 52828, Korea

2. Professor, Department of Bio-Industrial Machinery Engineering, Gyeongsang National University (Institute of Smart Farm), Jinju 52828, Korea

Publisher

The Korean Society for Bio-Environment Control

Link

http://www.ksbec.org/articles/pdf/doi/10.12791/KSBEC.2022.31.3.255.pdf

Reference9 articles.

1. Scalable Object Detection Using Deep Neural Networks

2. Multi-Tasking U-net Based Paprika Disease Diagnosis

3. Gradient-based learning applied to document recognition

4. Comparison of Environmental-Friendly and Chemical Spray Calendar for Controlling Diseases and Insect Pests of Strawberry during Nursery Seasons

Cited by 2 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. Characterization and Detection Classification of Moldy Corn Kernels Based on X-CT and Deep Learning;Applied Sciences;2024-03-05

2. Deep-Learning-Based Strawberry Leaf Pest Classification for Sustainable Smart Farms;Sustainability;2023-05-12

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