Assessment of temperature suitability and chilling injury risk for overwinter vegetable growing in insulated steel-framed greenhouses in Tianjin
Using the indoor and outdoor meteorological observation data from two novel insulated steel frame greenhouses in Tianjin over the period from December of 2021 to March of 2022,we applied the Random Forest(RF)method to simulate the distribution of temperature within the two greenhouses,analyzed the variation in heat resources under different climatic conditions and the temperature suitability of vegetable growing,and assessed the risk of low temperature.The results indicated that the indoor air temperature simulated by the RF method correlates highly with the measured values,with a coefficient of determination exceeding 0.85 and a consistency index D val-ue above 0.988 in both novel insulated steel frame greenhouses.The minimum temperature within the heated insu-lated steel frame greenhouses is consistently maintained above 10℃,with minimal fluctuations,making it ideal for the cultivation of semi-tolerant and warm vegetables(with a suitability degree ranging from 0.86 to 0.97 and 0.73 to 0.90,respectively,and no risk of low temperature injury).Conventional insulated steel frame greenhouses can maintain a minimum temperature above-3℃,suitable for cold-hardy and half-cold-hardy vegetables(with a suitability degree ranging from 0.59 to 0.91 and 0.43 to 0.86,respectively,and a low risk of low temperature in-jury).
Random Forest(RF)Neural networkOverwintering cropHeat resources
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