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土壤水分预测是天气预报的一个重要指标,是径流预报、农田灌溉和排水等问题的重要参考因素,一直以来都是广大气象学者研究的重点。本文利用人工神经网络的方法建立土壤水分预测模型,对田间土壤水分进行预测研究。预测结果表明:应用人工神经网络建立的土壤水分预测数学模型适用于土壤水分预测,能够比较准确的对田间土壤水分值进行预测,具有较好的预测精度。
Soil moisture forecasting is an important indicator of weather forecasting and an important reference factor for runoff forecasting, farmland irrigation and drainage. It has always been the focus of meteorological scholars’ research. In this paper, artificial neural network method is used to establish a soil moisture prediction model to forecast soil moisture in the field. The prediction results show that the mathematic model of soil moisture prediction based on artificial neural network is suitable for soil moisture prediction, which can predict soil moisture value more accurately and has better prediction accuracy.