Presentation 2022-07-07
Greenhouse Microclimate Prediction based on Neural Networks
Mujawamariya Marie Grace, Toshiyuki Amagasa, Naoya Fukuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Multivariate time series prediction approaches have been significant in wide range of real-world application. This paper presents Neural Networks forecasting techniques which take as input multivariate time series data captured by sensors inside a greenhouse, and satellite weather data and predict environmental parameters such as temperature inside the greenhouse over 6 hours and 12 hours in the future. We report results of the prediction model and evaluate our models predictions accuracy based on MAE metric and standard deviation for the stability. Finally, we highlight and discuss about microclimate parameters that have significant effect for predicting precise temperature inside the greenhouse.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neural Network / Time series / Microclimate / Greenhouse
Paper # LOIS2022-4
Date of Issue 2022-06-30 (LOIS)

Conference Information
Committee LOIS / IPSJ-DC
Conference Date 2022/7/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroyuki Toda(NTT) / Yoshihito Akimoto(Toppan)
Vice Chair Manabu Motegi(Takushoku Univ.)
Secretary Manabu Motegi(Nagasaki Univ.) / (NTT)
Assistant Mana Sasagawa(NTT)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Greenhouse Microclimate Prediction based on Neural Networks
Sub Title (in English)
Keyword(1) Neural Network
Keyword(2) Time series
Keyword(3) Microclimate
Keyword(4) Greenhouse
1st Author's Name Mujawamariya Marie Grace
1st Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
2nd Author's Name Toshiyuki Amagasa
2nd Author's Affiliation Center for Computational Sciences, University of Tsukuba(CCS, Univ. of Tsukuba)
3rd Author's Name Naoya Fukuda
3rd Author's Affiliation Faculty of Life and Environmental Sciences, University of Tsukub(Univ. of Tsukuba)
Date 2022-07-07
Paper # LOIS2022-4
Volume (vol) vol.122
Number (no) LOIS-97
Page pp.pp.1-6(LOIS),
#Pages 6
Date of Issue 2022-06-30 (LOIS)