2021
DOI: 10.1007/s00271-021-00753-z
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Estimating grapevine transpiration in greenhouse with three different methods in a Penman–Monteith model in Northeast China

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Cited by 12 publications
(4 citation statements)
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“…The underestimation of this stage is the main reason for the low accuracy of T simulation in the whole growth period. Similar results were also found in greenhouse tomatoes (Gong et al, 2019) and cucumbers (Yan et al, 2018), which may be related to the type of convection in greenhouses (Zheng et al, 2021), and the diffusion of water vapor in the greenhouse is greatly affected by man-made disturbances. When the vent is closed or the opening is small, the aerodynamic resistance is relatively high (Yan et al, 2019).…”
Section: Sw and Swm Models Overestimate T Of Greenhouse Grapes While ...supporting
confidence: 76%
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“…The underestimation of this stage is the main reason for the low accuracy of T simulation in the whole growth period. Similar results were also found in greenhouse tomatoes (Gong et al, 2019) and cucumbers (Yan et al, 2018), which may be related to the type of convection in greenhouses (Zheng et al, 2021), and the diffusion of water vapor in the greenhouse is greatly affected by man-made disturbances. When the vent is closed or the opening is small, the aerodynamic resistance is relatively high (Yan et al, 2019).…”
Section: Sw and Swm Models Overestimate T Of Greenhouse Grapes While ...supporting
confidence: 76%
“…Where Ta is air temperature, ℃; Ts is surface temperature, ℃; Rn is net radiation, W m -2 ; G (=Gw+Gd) is the soil heat flux, W m -2 ; ρa is air density at constant pressure, kg m -3 ; Cp is specific heat of dry air at constant pressure, J kg -1 ℃ -1 ; ra is aerodynamic resistance in greenhouse, s m -1 that can be obtained by the heat transfer coefficient method (Zheng et al, 2021).…”
Section: Energy Balance In Greenhousementioning
confidence: 99%
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“…When the models generated were compared to traditional methodologies, such as FAO Penman-Monteith (PM) and Hargreaves (HG) equations, it was found that even with limited data, ANN models predicted ET c better than classic equations, requiring only temperature and humidity sensors. This is because, in certain climatic conditions, PM and HG equations can overestimate or underestimate ET c , as has been evidenced by several authors [224][225][226][227][228][229][230][231][232][233]. Searching for similar results, ref.…”
Section: Role Of Next-generation Technologies In Enhancing Sustainabi...mentioning
confidence: 79%