Comparison of Yield and Workload depending on Stem Training Methods in Oriental Melon Hydroponics-Reference-Cited by-同舟云学术

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Comparison of Yield and Workload depending on Stem Training Methods in Oriental Melon Hydroponics

Published:2021-10-01 Issue:4 Volume:30 Page:377-382
ISSN:1229-4675
Container-title:Journal of Bio-Environment Control
language:en
Short-container-title:phpf

Author:

Lee Dong Soo¹,Kwon Jin Kyung²,Yun Sung Wook^ORCID,Lee Si Young³,Seo Min Tae⁴,Lee Hee Ju⁵,Lee Sang Gyu³,Kang Tae Gyoung³

Affiliation:

1. Post-doctoral Researcher, Energy and environmental engineering division, National instutute of Agricultural Science, RDA, Jeonju 54875, Korea

2. Researcher, Energy and environmental engineering division, National instutute of Agricultural Science, RDA, Jeonju 54875, Korea

3. Research Officier, Energy and environmental engineering division, National instutute of Agricultural Science, RDA, Jeonju 54875, Korea

4. Researcher, Agricultural Safety and Health Division, National instutute of Agricultural Science, RDA, Jeonju 54875, Korea

5. Researcher, Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA, Jenju 55365, Korea

Publisher

The Korean Society for Bio-Environment Control

Link

http://www.ksbec.org/articles/pdf/doi/10.12791/KSBEC.2021.30.4.377.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. Effects of Growth and Quantity according to Form of High Bed in Cultivation of Korean Melon;Journal of Bio-Environment Control;2023-10-31

2. Evaluation of Cultivation Characteristics according to NO3– Ratio of Nutrient Solution for Korean Melon in Hydroponic Culture;Journal of Bio-Environment Control;2023-07-31

3. Photosynthesis by Leaf Age and Fruit Characteristics by Fruiting Nodes in Vertical and Hydroponic Cultivation of Oriental Melon Applied with Air Duct for High-temperature Season;Journal of Bio-Environment Control;2023-04-30

4. Determination of Internal Quality Indices in Oriental Melon Using Snapshot-Type Hyperspectral Image and Machine Learning Model;Agronomy;2022-09-19

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