Overview of modelling techniques for greenhouse microclimate environment and evapotranspiration

Haofang Yan, Samuel Joe Acquah, Jianyun Zhang, Guoqing Wang, Chuan Zhang, Ransford Opoku Darko

Abstract


Domestication of plants by man through greenhouse crop production has revolutionized agricultural farming systems worldwide. Selecting the appropriate greenhouse technology together with the user-friendly evapotranspiration (ETc) model can optimize crop water use. The greenhouse microclimate environment has nearly zero wind speed and low radiation, hence low transpiration due to high temperature and humidity. Therefore, matching the greenhouse microclimate with the appropriate ETc model will certainly optimize crop water use efficiency since water is becoming a scarce resource globally, more so in the greenhouse environment. This is one of the main reasons why the gap between the dissemination of various advanced ETc models and the application by the greenhouse crop producers’ community needs to be bridged. The likelihood or chances of rapidly disseminating and adopting advances in ETc estimating technology by a larger greenhouse crop producers community will increase if greenhouse ETc models become more user-friendly and available. The contribution of the greenhouse system to increased and sustainable food production must come through improved disseminating, adopting and use of existing greenhouse ETc models. FAO recommends a standard approach for the determination of crop water requirements utilizing the product of reference evapotranspiration (ET0) and crop coefficient (Kc) values. The FAO approach can also be used in greenhouse cultivation systems. However, studies connecting greenhouse technologies and methodologies for measuring ET0 or ETc in greenhouses are not available. There are also few studies undertaken that compared the performance of ET0 or ETc models under different categories of greenhouse conditions. In this review, a link between greenhouse technology and ET0 model or ETc model, and how existing knowledge and methodologies in ET0 or ETc measurements can actually enhance the sustainability of greenhouse farming have been highlighted. The categories of greenhouses, equipment commonly used, and the data collected for ET0 and ETc measurements have been established in the article. This review aimed to evaluate and summarize ET0 and ETc models currently available and being used in the various greenhouse categories. The accuracy assessment levels of the ET0 models about the category of the greenhouse microclimate environment were carried out.
Keywords: greenhouse microclimate environment, reference evapotranspiration models, crop evapotranspiration, overview
DOI: 10.25165/j.ijabe.20211406.3948

Citation: Yan H F, Acquah S J, Zhang J Y, Wang G Q, Zhang C, Darko R O. Overview of modelling techniques for greenhouse microclimate environment and evapotranspiration. Int J Agric & Biol Eng, 2021; 14(6): 1–8.

Keywords


greenhouse microclimate environment, reference evapotranspiration models, crop evapotranspiration, overview

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References


Zhang M Q, Zhang W, Chen X Y, Wang F, Wang H, Zhang J S, et al. Modeling and simulation of temperature control system in plant factory using energy balance. Int J Agric & Biol Eng, 2021; 14(3): 55–61.

Yan H, Acquah S J, Zhang C, Huang S, Zhang H, Zhao B, et al. Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models. Agricultural Water Management, 2019; 217: 201–211.

Papadopoulos A P. Growing greenhouse tomatoes in soil and soilless media. Agriculture Canada Publication, 1991; 79p.

Soria T, Cuartero J. Tomato fruit yield and water consumption with salty water irrigation. ISHS Acta Horticulture, 1998; 458: 215–220.

Abou-Hadid A F, El-Shinawy M Z, El-Oksh I, Gomaa H, El-Beltagy A S. Studies on water consumption of sweet pepper plant under plastic houses. ISHS Acta Horticulturae, 1994; 366: 365–372.

Tuzel Y, Ui M A, Tuzel I H. Effects of different irrigation intervals and rates on Spring season glasshouse tomato production: II, Fruit quality. ISHS Acta Horticulturae, 1994; 366: 389–396.

Harmanto, Salokhe V M, Babel M S, Tantau H J. Water requirement of drip irrigated tomatoes grown in greenhouse in tropical environment. Agricultural Water Management, 2005; 71(3): 225–242.

Stanghellini C. Transpiration of greenhouse crops: An aid to climate management. PhD dissertation. Wageningen, the Netherlands: Agricultural University of Wageningen, 1987; 150p.

Medrano E, Lorenzo P, Sanchez-Guerrero M C, Montero J I. Evaluation and modelling of greenhouse cucumber-crop transpiration under high and low radiation conditions. Scientia Horticulturae, 2005; 105(2): 163–175.

Jolliet O, Bailey B J. The effect of climate on tomato transpiration in greenhouse: measurements and models comparison. Agricultural and Forestry Meteorology, 1992; 58(1-2): 43–62.

Yan H, Zhang C, Gerrits M C, Acquah S J, Zhang H, Wu H, et al. Parametrization of aerodynamic and canopy resistances for modeling evapotranspiration of greenhouse cucumber. Agricultural and Forest Meteorology, 2018; 262: 370–378.

Li X, Zhang C, Yan H, Akhlaq M, Li L, Zhang W, et al. Effects of biochar and irrigation on soil water retention and physiological characteristics of tomato in greenhouse condition. Journal of Drainage and Irrigation Machinery Engineering, 2022; 3: In Press. (in Chinese)

Baille M, Baille A, Laury J C. A simplified model for predicting evapotranspiration rate of nine ornamental species vs. climate factors and leaf. ISHS Acta Horticulturae, 1994; 59: 217–232.

Montero J I, Antón A, Muňoz P, Lorenzo P. Transpiration from geranium grown under high temperatures and low humidities in greenhouses. Agricultural and Forest Meteorology, 2001; 107(4): 323–332.

Kittas C, Katsoulas N, Baille A. Influence of greenhouse ventilation regime on the microclimate and energy partitioning of a rose canopy during summer conditions. Journal of Agricultural Engineering Research, 2001; 79(3): 349–360.

Nelson P V. Greenhouse operation and management. New Jersey, USA: Prentice Hall, 1985; 595p.

Castilla N, Hernandez J. Greenhouse technological packages for high quality crop production. Acta Horticulturae, 2007; 761: 285–297.

Baudoin W, Nono-Womdim R, Lutaladio N, Hodder A, Castilla N, Leonardi C, et al. FAO Plant Production and Protection Paper 217 - Good agricultural practices for greenhouse vegetable crops: Principles for Mediterranean climate areas. Rome, Italy: FAO, 2013; 616p.

Shamshiri R R, Kalantari F, Ting K C, Thorp K R, Hameed I A, Weltzien C, et al. Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. Int J Agric & Biol Eng, 2018; 11(1): 1–22.

Castilla N, Hernandez J. Greenhouse technological packages for high quality cropproduction. Acta Horticulturae, 2007; 761: 285–297.

White J W, Aldrich R A. Progress report on energy conservation for greenhouses research. Floriculture Review, 1975; 156: 63–65.

Takakura T. Research exploring greenhouse environment control over the last 50 years. Int J Agric & Biol Eng, 2019: 12(5): 1–7.

Lan Y B, Chen S D, Fritz B K. Current status and future trends of precision agricultural aviation technologies. Int J Agric & Biol Eng, 2017; 10(3): 1–17.

Baille A, Kittas C, Katsoulas N. Influence of whitening on greenhouse microclimate and crop energy partitioning. Agricultural and Forest Meteorology, 2001; 107(4): 293–306.

Allen R G. Assessing integrity of weather data for reference

evapotranspiration estimation. Journal of Irrigation and Drainage Engineering, 1996; 122(2): 97–106.

American Society for Agricultural Engineers (ASAE). ANSI/ASAE EP406.3 MAR98. Heating, venting and cooling greenhouses, 2000.

Allen R G, Pereira L S, Howell T A, Jensen M E. Evapotranspiration information reporting: II. Recommended documentation. Agricultural Water Management, 2011; 98(6): 921–929.

Zhang Z, Gates R S, Zou Z R, Hu X H. Evaluation of ventilation performance and energy efficiency of greenhouse fans. Int J Agric & Biol Eng, 2015; 8(1): 103–110.

Flores-velazquez J, Montero J I, Baeza E J, Lopez J C. Mechanical and natural ventilation systems in a greenhouse designed using computational fluid dynamics. Int J Agric & Biol Eng, 2014; 7(1): 1–16.

Ley T W, Hill R W, Jensen D T. Errors in Penman–Wright Alfalfa reference evapotranspiration estimates: I. Model sensitivity analyses. Transactions of the ASAE, 1994; 37(6): 1853–1861.

Qi M D, Zhang Y Q, Wang W J, Wang C J, Wu Z D, Wang J D. Effect of mulched drip irrigation on water and heat transfer and crop water consumption in maize field. Journal of Drainage and Irrigation Machinery Engineering, 2020; 38(7): 731–737. (in Chinese)

Chen Y, Shi Y L, Wang Z Y, Huang L. Connectivity of wireless sensor networks for plant growth in greenhouse. Int J Agric & Biol Eng, 2016; 9(1): 89–98.

Xu F, Shang C, Li HL, Xue X Z. Comparison of thermal and light performance in two typical Chinese solar greenhouses in Beijing. Int J Agric & Biol Eng, 2019; 12(1): 24–32.

Doorenbos J, Pruitt W O. FAO Irrigation and Drainage Paper No. 24 2nd rev - Guidelines for predicting crop water requirements. Rome, Italy: FAO, 1977; 156p.

Allen R G, Pereira L S, Raes D, Smith M. Irrigation and Drainage Paper No. 56 - Crop evapotranspiration: guidelines for computing crop water requirements. Rome, Italy: FAO, 1998; 281p.

Acquah S J, Yan H, Zhang C, Wang G Q, Zhao B, Wu H, et al. Application and evaluation of Stanghellini model in the determination of crop evapotranspiration in a naturally ventilated greenhouse. Int J Agric & Biol Eng; 2018; 11(6): 95–103.

Allen R G. Accuracy of predictions of project-wide evapotranspiration using crop coefficients and reference evapotranspiration, 1999.

Huang S, Yan H, Zhang C, Wang G, Acquah S, Yu J, Li L, Ma J, Opoku Darko R. Modeling evapotranspiration for cucumber plants based on the Shuttleworth-Wallace model in a Venlo-type greenhouse. Agric. Water Manag, 2020; 228p.

Yan H, Yu J, Zhang C, Wang G, Huang S, Ma J. Comparison of two canopy resistance models to estimate evapotranspiration for tea and wheat in southeast China. Agricultural Water Management, 2021; 245: 106581. doi: 10.1016/j.agwat.2020.106581.

Hassanien R H E, Li M. Influences of greenhouse-integrated semi-transparent photovoltaics on microclimate and lettuce growth. Int J Agric & Biol Eng, 2017; 10(6): 11–22.

Yan H F, Zhang C, Oue H. Parameterization of canopy resistance for modeling the energy partitioning of a paddy rice field. Paddy and Water Environment, 2018; 16(1):109–123.

Takakura T, Kubota C, Sase S, Hayashi M, Ishii M, Takayama K, et al. Measurement of evapotranspiration rate in a single-span greenhouse using the energy-balance equation. Biosystems Engineering, 2009; 102(3): 298–304.

Zhu X Y, Chikangaise P, Shi W, Chen W-H, Yuan S. Review of intelligent sprinkler irrigation technologies for remote autonomous system. Int J Agric & Biol Eng, 2018; 11(1): 23–30.

Boulard T, Jemaa R, Baille A. Validation of a greenhouse tomato crop transpiration model in Mediterranean conditions. ISHS Acta Horticulturae, 1997; 449: 551–559.

Pollet S, Blayaert P. Application of the Penman-Monteith model to calculate the evapotranspiration of head lettuce (Lactuca sativa L. var. capitata) in glasshouse conditions. ISHS Acta Horticulturae, 2000; 519: 151–161.

Yan H F, Zhang C, Oue H, Wang G Q, He B. Study of evapotranspiration and evaporation beneath the canopy in a buckwheat field. Theoretical and Applied Climatology, 2015; 122: 721–728.

Allen R G, Pereira L S. Estimating crop coefficients from fraction of ground cover and height. Irrigation Science, 2009; 28: 17–34.

Fernández M D, Baeza E, Céspedes A, Pérez-Parra J, Gázquez J C. Validation of on-farm crop water requirements (PrHo) model for horticultural crops in an unheated plastic greenhouse. ISHS

ActaHorticulturae, 2009; 807: 295–300.

Moller M, Assouline S. Effects of a shading screen on microclimate and crop water requirements. Irrigation Science, 2007; 25: 171–181.

Gallardo M, Gimenez C, Martinez-Gaitan C, Stockle C O, Thompson R B, Granados M R. Evaluation of the VegStst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration. Agricultural Water Management, 2011; 101(1): 107–117.

Rosa R D, Paredes P, Rodrigues G C, Alves I, Fernando R M, Pereira L S, et al. Implementing the dual crop coefficient approach in interactive software. 1. Background and computational strategy. Agricultural Water Management, 2012; 103: 8–24.

Fandińo M, Cancela J J, Rey B J, Martínez E M, Rosa R G, Pereira L S. Using the dual-Kc approach to model evapotranspiration of albariño vineyards (Vitisvinifera L. cv. albariño) with consideration of active ground cover. Agricultural Water Management, 2012; 112: 75–87

Paço T A, Ferreira M I, Rosa R D, Paredes P, Rodrigues G C, Conceição N, et al. The dual crop coefficient approach using a density factor to simulate the evapotranspiration of a peach orchard: SIMDualKc model vs. eddy covariance measurements. Irrigation Science, 2012; 30(2): 115–126.

Wang L N, Wang B R. Greenhouse microclimate environment adaptive control based on a wireless sensor network. Int J Agric & Biol Eng, 2020; 13(3): 64–69.

Ren Y Z, Wang M J, Saeeda I A, Chen X R, Gao W L. Progress, problems and prospects for standardization of greenhouse-related technologies. Int J Agric & Biol Eng, 2018; 11(1): 40–48.

Hargreaves G H, Samani Z A. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1985; 1(2): 96–99.

Pirkner M, Dicken U, Tanny J. Penman-Monteith approaches for estimating crop evapotranspiration in screenhouses—A case study with table-grape. International Journal of Biometeorology, 2014; 58(5): 725–737.

Liu H-J, Cohen S, Tanny J, Lemcoff J, Huang G. Estimation of banana (Musa sp.) plant transpiration using a standard 20 cm pan in a greenhouse. Irrigation and Drainage Systems, 2008; 22(3): 311–323.

López-Cruz I L, Olivera-López M, Herrera-Ruiz G. Simulation of greenhouse tomato crop transpiration by two theoretical models. ISHS Acta Horticulturae, 2008; 797: 145–150.

Stanghellini C. The role of internal and external resistance in scheduling irrigation of a greenhouse crop. ISHS Acta Horticulturae, 1988; 228: 261–269.

Fynn R P, Al-Shooshan A, Short T H, McMahon R W. Evapotranspiration measurements and modelling for a potted chrysanthemum crop. Transactions of the ASAE, 1993; 36(6): 1907–1920.

Prenger J J, Fynn R P, Hansen R C. An evaluation of four evapotranspiration models. 2001 ASAE Meeting, 2001; Paper No. 018010. doi: 10.13031/2013.7500.

Möller M, Tanny J, Li Y, Cohen S. Measuring and predicting evapotranspiration in an insect-proof screenhouse. Agricultural and Forest Meteorology, 2004; 127(1): 35–51.

Valdés-Gómez H, Ortega-Farías S, Argote M. Evaluation of water requirements for a greenhouse tomato crop using the Priestley-Taylor method. Chilean Journal of Agricultural Research, 2007; 69(1): 3–11.

Priestley C H B, Taylor R J. On assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Review, 1972; 100: 81–92.

Zhang C, Zhang H, Yan H, Acquah S J, Deke X. Effects of micro-sprinkler irrigation combined with drip irrigation on greenhouse high temperature environment and crop growth physiological characteristics. Transactions of the CSAE, 2018; 34(20): 83–89. (in Chinese)

Yan H, Zhao B, Zhang C, Huang S, Fu H, Jianjun Y, et al. Estimating cucumber plants transpiration by Penman-Monteith model in Venlo-type greenhouse. Transactions of the CSAE, 2019; 35(8): 149–157. (in Chinese)

Yan H, Shi H, Oue H, Zhang C, Xue Z, Cai B, et al. Modelling bulk canopy resistance from climatic variables for predicting hourly evapotranspiration of maize andbuckwheat. Meteorology and Atmospheric Physics, 2015; 127: 305–312.

Jahani B, Dinpashoh Y, Nafchi A R. Evaluation and development of empirical models for estimating daily solar radiation. Renewable and Sustainable Energy Reviews, 2017; 73: 878–891.

Yan H, Zhang C, Peng G, Darko R, Cai B. Modeling canopy resistance for estimating latent heat flux at a tea field in south China. Experimental Agriculture, 2018; 54(4): 563–576.




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