@inproceedings{62eabd8e3d4b41268aa830c5b34d4374,
title = "Development of prediction model of leaf vegetable product coupled photosynthetic rate and growth curve of leaf area under air-conditioning environment in plant factory",
abstract = "Growth prediction method depending on a cultivation condition is important for planning and operating vegetable production in a plant factory. In this paper, it was proposed to incorporate the growth prediction method based on plant physiology into the air conditioning simulation tool. Photosynthetic rate equation was expanded by incorporating light intensity, air temperature, carbon dioxide concentration and wind speed dependency. Plant characteristic values necessary for photosynthetic rate were identified by cultivation experiments. Growth amount of leaf area was modeled as a growth curve and coupled with photosynthetic rate. Comparing the prediction results with cultivation experiment results, it was confirmed that this prediction method has accuracy for practical use.",
keywords = "Air conditioning system, Crop yield, Cultivation test, Growth curve, Leaf area, Photosynthesis, Plant factory, Water content",
author = "Atsumasa Yoshida and Koji Moriuchi and Yasushi Ueda and Shinichi Kinoshita",
note = "Publisher Copyright: {\textcopyright} 2019 International Institute of Refrigeration. All rights reserved.; 25th IIR International Congress of Refrigeration, ICR 2019 ; Conference date: 24-08-2019 Through 30-08-2019",
year = "2019",
doi = "10.18462/iir.icr.2019.0322",
language = "English",
series = "Refrigeration Science and Technology",
publisher = "International Institute of Refrigeration",
pages = "2932--2939",
editor = "Vasile Minea",
booktitle = "ICR 2019 - 25th IIR International Congress of Refrigeration",
}