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首页> 外文期刊>Computers and Electronics in Agriculture >Development of a microclimate model for prediction of temperatures inside a naturally ventilated greenhouse under cucumber crop in soilless media
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Development of a microclimate model for prediction of temperatures inside a naturally ventilated greenhouse under cucumber crop in soilless media

机译:无土媒体黄瓜作物自然通风温室内温度预测微节模型的开发

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The microclimate inside a protected structure is affected mainly by physical processes involving heat and mass transfer between plants, air, growing media and the plastic cover. The microclimate within plant community directly affects the plant metabolic activities and therefore the production. Thus, it becomes imperative to monitor and maintain the microclimatic parameters to desired range for optimal plant growth and development. A microclimatic model of a naturally ventilated greenhouse under cucumber crop in soilless media was developed by considering the heat or mass transport processes (convection, radiation, transpiration and natural ventilation) and solved in Simulink MATLAB. The model performance was evaluated statistically through a comparison between predicted and observed data. The averaged absolute percent error for temperature of air, plant, growing media and plastic cover was computed to be 8.9%, 7.6%, 8.0% and 10.6% respectively. The coefficient of determination (r(2)), root mean square error (RMSE) and model efficiency (eta(eff)) were obtained to be 0.96, 0.11 degrees C and 94.7% respectively. The statistical comparisons indicated that the developed microclimate model was sufficiently accurate to predict the temperature at air, plant (leaf), growing media and greenhouse cover under cropped conditions inside a naturally ventilated greenhouse. However, some model coefficients may require adjustments with respect to change in crop type and greenhouse conditions. The model output would be helpful in monitoring and offering optimal plant growth conditions which in turn can help in irrigation and fertigation management of the crop grown.
机译:受保护结构内的微气密受到涉及植物,空气,生长介质和塑料盖之间的热量和质量传递的物理过程的影响。植物群落内的微气密直接影响植物代谢活动,从而影响生产。因此,势在必行对最佳植物生长和发育的所需范围进行监测和维持微跨度参数。通过考虑热量或大规模运输过程(对流,辐射,蒸发和自然通风)而在Simulink Matlab中解决了无土介质中的黄瓜作物下的天然通风温室的微跨度模型。通过预测和观察数据之间的比较,统计评估模型性能。空气,植物,生长介质和塑料覆盖的温度平均绝对误差分别计算为8.9%,7.6%,8.0%和10.6%。测定系数(R(2)),根均方误差(RMSE)和模型效率(ETA(EFF))分别为0.96,0.11℃和94.7%。统计比较表明,发育的微气候模型足够准确,以预测空气,植物(叶),生长介质和温室盖在自然通风温室内的裁剪条件下的温度。然而,一些模型系数可能需要关于作物类型和温室条件的变化的调整。模型输出有助于监测和提供最佳的植物生长条件,这反过来可以帮助种植的灌溉和灌溉管理。

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