Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model-Reference-Cited by-同舟云学术

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Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model

Published:2023-10-08 Issue:1 Volume:131 Page:209-225
ISSN:1861-3829
Container-title:Journal of Plant Diseases and Protection
language:en
Short-container-title:J Plant Dis Prot

Author:

Jiang Yongcheng,Lu Libing,Wan Mingzhu,Hu Gensheng,Zhang Yan

Funder

Anhui Provincial Department of Education

Anhui Provincial Department of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s41348-023-00807-8.pdf

Reference44 articles.

1. Alshammari H, Gasmi K, Ben Ltaifa I, Krichen M, Ben Ammar L, Mahmood MA (2022) Olive disease classification based on vision transformer and CNN models. Comput Intell Neurosci 2022:3998193

2. Ashourloo D, Aghighi H, Matkan AA, Mobasheri MR, Rad AM (2016) An investigation into machine learning regression techniques for the leaf rust disease detection using hyperspectral measurement. IEEE J Select Topics Appl Earth Obs Remote Sens 9(9):4344–4351

3. Bi C, Wang J, Duan Y, Fu B, Kang J-R, Shi Y (2022) MobileNet based apple leaf diseases identification. Mob Netw Appl 1–9.

4. Bochkovskiy A, Wang C-Y, Liao H-YM (2020) Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934.

5. Chaliha C, Kalita E (2020) Blister blight disease of tea: An enigma. In: Diagnostics of Plant Diseases, IntechOpen. https://doi.org/10.5772/intechopen.95362.

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. Disease Diagnosis in Tea (Camellia sinensis (L.) Kuntze): Challenges and the Way Forward;Challenges in Plant Disease Detection and Recent Advancements;2024-06-17

2. Computational Insights into Tea Blister Blight: A Hybrid CNN-KNN Model Perspective;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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