Prediction of CO2 emission from soil for optimal greenhouse control

Dong Hoon Lee; Kyou Seung Lee; Chang Hyun Choi; Hak Jin Kim; Sun Ok Chung; Yong Jin Cho

Prediction of CO₂ emission from soil for optimal greenhouse control

Dong Hoon Lee^*
, Kyou Seung Lee
, Chang Hyun Choi
, Hak Jin Kim
, Sun Ok Chung
, Yong Jin Cho

^*Corresponding author for this work

Department of Bioindustrial Machinery Engineering

Sungkyunkwan University
Seoul National University
Chungnam National University

Research output: Contribution to conference › Conference paper › peer-review

4 Scopus citations

Abstract

Recently, there has been tremendous growth in the greenhouse industry due to both the high energy efficiency of greenhouse crop production and an increased demand for fresh vegetables. In greenhouse cultivation, CO₂ concentration plays an essential role in the photosynthesis process of crops. Optimum control of greenhouse CO₂ enrichment based on accurate monitoring of the added CO₂ can improve profitability from efficient crop production and reduce environmental impact as compared to past management practices. In this study, a mathematical model was developed to relate key environmental factors to CO₂ concentrations measured at three different depths by means of regression analysis. The feasibility of using the developed model for optimum control of CO₂ enrichment was investigated by correlating measured concentrations of CO₂ to the concentrations of CO₂ emissions obtained with the model. The experimental tests to predict CO₂ emission concluded that the developed model would be applicable to a real-time monitoring and control system.

Original language	English
Title of host publication	American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011
Publisher	American Society of Agricultural and Biological Engineers
Pages	4132-4143
Number of pages	12
ISBN (Print)	9781618391568
State	Published - 2011
Event	American Society of Agricultural and Biological Engineers Annual International Meeting 2011 - Louisville, KY, United States Duration: 2011.08.7 → 2011.08.10

Publication series

Name	American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011
Volume	5

Conference

Conference	American Society of Agricultural and Biological Engineers Annual International Meeting 2011
Country/Territory	United States
City	Louisville, KY
Period	11.08.7 → 11.08.10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

Keywords

Carbon dioxide
Empirical model
Greenhouse
Real-time monitoring
Regression analysis

Cite this

Lee, D. H., Lee, K. S., Choi, C. H., Kim, H. J., Chung, S. O., & Cho, Y. J. (2011). Prediction of CO₂ emission from soil for optimal greenhouse control. In American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011 (pp. 4132-4143). (American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011; Vol. 5). American Society of Agricultural and Biological Engineers.

Lee, Dong Hoon ; Lee, Kyou Seung ; Choi, Chang Hyun et al. / Prediction of CO₂ emission from soil for optimal greenhouse control. American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011. American Society of Agricultural and Biological Engineers, 2011. pp. 4132-4143 (American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011).

@inproceedings{d6f49c9dba994f89ab43030240438a77,

title = "Prediction of CO2 emission from soil for optimal greenhouse control",

abstract = "Recently, there has been tremendous growth in the greenhouse industry due to both the high energy efficiency of greenhouse crop production and an increased demand for fresh vegetables. In greenhouse cultivation, CO2 concentration plays an essential role in the photosynthesis process of crops. Optimum control of greenhouse CO2 enrichment based on accurate monitoring of the added CO2 can improve profitability from efficient crop production and reduce environmental impact as compared to past management practices. In this study, a mathematical model was developed to relate key environmental factors to CO2 concentrations measured at three different depths by means of regression analysis. The feasibility of using the developed model for optimum control of CO2 enrichment was investigated by correlating measured concentrations of CO2 to the concentrations of CO2 emissions obtained with the model. The experimental tests to predict CO2 emission concluded that the developed model would be applicable to a real-time monitoring and control system.",

keywords = "Carbon dioxide, Empirical model, Greenhouse, Real-time monitoring, Regression analysis",

author = "Lee, \{Dong Hoon\} and Lee, \{Kyou Seung\} and Choi, \{Chang Hyun\} and Kim, \{Hak Jin\} and Chung, \{Sun Ok\} and Cho, \{Yong Jin\}",

year = "2011",

language = "English",

isbn = "9781618391568",

series = "American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011",

publisher = "American Society of Agricultural and Biological Engineers",

pages = "4132--4143",

booktitle = "American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011",

note = "American Society of Agricultural and Biological Engineers Annual International Meeting 2011 ; Conference date: 07-08-2011 Through 10-08-2011",

}

Lee, DH, Lee, KS, Choi, CH, Kim, HJ, Chung, SO & Cho, YJ 2011, Prediction of CO₂ emission from soil for optimal greenhouse control. in American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011. American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011, vol. 5, American Society of Agricultural and Biological Engineers, pp. 4132-4143, American Society of Agricultural and Biological Engineers Annual International Meeting 2011, Louisville, KY, United States, 11.08.7.

Prediction of CO₂ emission from soil for optimal greenhouse control. / Lee, Dong Hoon; Lee, Kyou Seung; Choi, Chang Hyun et al.
American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011. American Society of Agricultural and Biological Engineers, 2011. p. 4132-4143 (American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011; Vol. 5).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Prediction of CO2 emission from soil for optimal greenhouse control

AU - Lee, Dong Hoon

AU - Lee, Kyou Seung

AU - Choi, Chang Hyun

AU - Kim, Hak Jin

AU - Chung, Sun Ok

AU - Cho, Yong Jin

PY - 2011

Y1 - 2011

N2 - Recently, there has been tremendous growth in the greenhouse industry due to both the high energy efficiency of greenhouse crop production and an increased demand for fresh vegetables. In greenhouse cultivation, CO2 concentration plays an essential role in the photosynthesis process of crops. Optimum control of greenhouse CO2 enrichment based on accurate monitoring of the added CO2 can improve profitability from efficient crop production and reduce environmental impact as compared to past management practices. In this study, a mathematical model was developed to relate key environmental factors to CO2 concentrations measured at three different depths by means of regression analysis. The feasibility of using the developed model for optimum control of CO2 enrichment was investigated by correlating measured concentrations of CO2 to the concentrations of CO2 emissions obtained with the model. The experimental tests to predict CO2 emission concluded that the developed model would be applicable to a real-time monitoring and control system.

AB - Recently, there has been tremendous growth in the greenhouse industry due to both the high energy efficiency of greenhouse crop production and an increased demand for fresh vegetables. In greenhouse cultivation, CO2 concentration plays an essential role in the photosynthesis process of crops. Optimum control of greenhouse CO2 enrichment based on accurate monitoring of the added CO2 can improve profitability from efficient crop production and reduce environmental impact as compared to past management practices. In this study, a mathematical model was developed to relate key environmental factors to CO2 concentrations measured at three different depths by means of regression analysis. The feasibility of using the developed model for optimum control of CO2 enrichment was investigated by correlating measured concentrations of CO2 to the concentrations of CO2 emissions obtained with the model. The experimental tests to predict CO2 emission concluded that the developed model would be applicable to a real-time monitoring and control system.

KW - Carbon dioxide

KW - Empirical model

KW - Greenhouse

KW - Real-time monitoring

KW - Regression analysis

UR - https://www.scopus.com/pages/publications/81255158410

M3 - Conference paper

AN - SCOPUS:81255158410

SN - 9781618391568

T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011

SP - 4132

EP - 4143

BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011

PB - American Society of Agricultural and Biological Engineers

T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2011

Y2 - 7 August 2011 through 10 August 2011

ER -

Lee DH, Lee KS, Choi CH, Kim HJ, Chung SO, Cho YJ. Prediction of CO₂ emission from soil for optimal greenhouse control. In American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011. American Society of Agricultural and Biological Engineers. 2011. p. 4132-4143. (American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011).