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中文摘要：
利用BP-人工神经网络考虑气象条件、土壤水分条件以及作物的生物学特性3方面因素，构建作物蒸发蒸腾量（ET）模型。
英文摘要：
Based on potted plant experiment, BP-artifieial neural network was used to simulate crop evapotranspiration and 3 kinds of artificial neural network models were constructed as ET1 （meteorological factors）, ET2（ meteorological factors and sowing days） and ET3 （meteorological factors, sowing days and water content）. And the predicted result was compared with actual value ET that was obtained by weighing method. The results showed that the ET3 model had higher calculation precision and an optimum BP-artificial neural network model for calculating crop evapotranspiration.
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