Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light

To maximize the growth of plants, controlling VPD is applied by fog cooling in a plant factory with solar light. The spatial data of environmental information cannot be obtained without interpolation among the detected values by the allocated sensors. In this paper, we evaluated the errors between t...

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Main Authors: Takashi Koga, Ken'ichi Yamaguchi, Hiroshi Iwata, Ikusaburo Kurimoto
Format: Article
Language:English
Published: Taylor & Francis Group 2020-05-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.9746/jcmsi.13.131
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author Takashi Koga
Ken'ichi Yamaguchi
Hiroshi Iwata
Ikusaburo Kurimoto
author_facet Takashi Koga
Ken'ichi Yamaguchi
Hiroshi Iwata
Ikusaburo Kurimoto
author_sort Takashi Koga
collection DOAJ
description To maximize the growth of plants, controlling VPD is applied by fog cooling in a plant factory with solar light. The spatial data of environmental information cannot be obtained without interpolation among the detected values by the allocated sensors. In this paper, we evaluated the errors between the interpolated values with Kriging and the detected values in the spring, autumn, and winter, respectively, in the plant factory with solar light. The experimental results show that the maximum error of the interpolated values using Kriging are within the acceptable error range, ±0.1kPa. Therefore, Kriging is useful for interpolation in the plant factory with solar light.
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spelling doaj.art-90bf650c966f4b4ea548bec3275629682023-10-12T13:43:55ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702020-05-0113313113710.9746/jcmsi.13.13112103295Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar LightTakashi Koga0Ken'ichi Yamaguchi1Hiroshi Iwata2Ikusaburo Kurimoto3Dept. of Information Engineering, National Institute of Technology, Nara CollegeDept. of Information Engineering, National Institute of Technology, Nara CollegeDept. of Information Engineering, National Institute of Technology, Nara CollegeDept. of Information and Computer Engineering, National Institute of Technology, Kisarazu CollegeTo maximize the growth of plants, controlling VPD is applied by fog cooling in a plant factory with solar light. The spatial data of environmental information cannot be obtained without interpolation among the detected values by the allocated sensors. In this paper, we evaluated the errors between the interpolated values with Kriging and the detected values in the spring, autumn, and winter, respectively, in the plant factory with solar light. The experimental results show that the maximum error of the interpolated values using Kriging are within the acceptable error range, ±0.1kPa. Therefore, Kriging is useful for interpolation in the plant factory with solar light.http://dx.doi.org/10.9746/jcmsi.13.131plant factory with solar lightvapor pressure deficitinterpolationkriging
spellingShingle Takashi Koga
Ken'ichi Yamaguchi
Hiroshi Iwata
Ikusaburo Kurimoto
Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
SICE Journal of Control, Measurement, and System Integration
plant factory with solar light
vapor pressure deficit
interpolation
kriging
title Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
title_full Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
title_fullStr Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
title_full_unstemmed Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
title_short Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
title_sort kriging interpolation evaluation of vapor pressure deficit in plant factory with solar light
topic plant factory with solar light
vapor pressure deficit
interpolation
kriging
url http://dx.doi.org/10.9746/jcmsi.13.131
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