Estimating Moisture Content of Cucumber Seedling Using Hyperspectral Imagery-Reference-Cited by-同舟云学术

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Estimating Moisture Content of Cucumber Seedling Using Hyperspectral Imagery

Published:2016-09-01 Issue:3 Volume:41 Page:273-280
ISSN:1738-1266
Container-title:Journal of Biosystems Engineering
language:en
Short-container-title:Journal of Biosystems Engineering

Author:

Kang Jeong-Gyun,Ryu Chan-Seok,Kim Seong-Heon,Kang Ye-Seong,Sarkar Tapash Kumar,Kang Dong-Hyeon,Kim Dong Eok,Ku Yang-Gyu

Publisher

Korean Society for Agricultural Machinery

Subject

Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Agricultural and Biological Sciences (miscellaneous)

Link

http://ocean.kisti.re.kr/downfile/crosscheck/ksagm/JAKO201634347630518.pdf

Cited by 4 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. Presenting a Multispectral Image Sensor for Quantification of Total Polyphenols in Low-Temperature Stressed Tomato Seedlings Using Hyperspectral Imaging;Sensors;2024-06-30

2. Early Warning Potential of Cucumber Spoilage Based on Hyperspectral Information During Its Storage;Food Analytical Methods;2022-05-19

3. Estimation of Moisture Content in Cucumber and Watermelon Seedlings Using Hyperspectral Imagery;Protected horticulture and Plant Factory;2018-01-01

4. The DOM Generation and Precise Radiometric Calibration of a UAV-Mounted Miniature Snapshot Hyperspectral Imager;Remote Sensing;2017-06-22

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