Segmentation of thermal infrared images of cucumber leaves using K-means clustering for estimating leaf wetness duration-Reference-Cited by-同舟云学术

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Segmentation of thermal infrared images of cucumber leaves using K-means clustering for estimating leaf wetness duration

Published:2020 Issue:3 Volume:13 Page:161-167
ISSN:1934-6344
Container-title:International Journal of Agricultural and Biological Engineering
language:en
Short-container-title:

Author:

Wen Dongmei, ,Ren Aixin,Ji Tao,Maria Flores-Parra Isabel,Yang Xinting,Li Ming, , ,

Publisher

International Journal of Agricultural and Biological Engineering (IJABE)

Subject

General Engineering,General Agricultural and Biological Sciences

Cited by 11 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. Non-contact leaf wetness measurement with laser-induced light reflection and RGB imaging;Biosystems Engineering;2024-08

2. Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS);Sensors;2024-07-25

3. Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial Network;Remote Sensing;2024-03-01

4. Wildfire aerial thermal image segmentation using unsupervised methods: a multilayer level set approach;International Journal of Wildland Fire;2023-03-17

5. Research on Instance Segmentation Algorithm of Greenhouse Sweet Pepper Detection Based on Improved Mask RCNN;Agronomy;2023-01-07

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