Abstract
The accurate prediction of the soil moisture in greenhouse can improve the accuracy of irrigation forecast, thus saving water and increasing production. In this paper, the monitoring data were obtained from the greenhouse in Agricultural Demonstration Park of Northland Spring, Wuqing District, Tianjin. The soil moisture was predicted based on the GM (1,1) model, and the effect of water-saving and increased production was tested with the results of the economic irrigation research in the same area. The results show that the GM (1,1) model has a higher accuracy of soil moisture prediction. The correlation coefficient (R2) of the predicted value and the measured value is higher than 0.9; the small error probability P is 1; the mean relative prediction errors are all less than 0.1. Therefore, the GM (1,1) model can be used to predict soil moisture content.
Highlights
Soil moisture refers to water content of the root layering of the crop [1]
Collecting data related to soil moisture and weather and other factors by monitoring instruments, the moisture prediction in the period of time can be achieved by mathematical modeling in soil moisture monitor and forecast
It can be seen that the eggplant was irrigated on the fifth day from Figure4, and the soil moisture content decreased gradually from day 5 to day 27
Summary
Soil moisture refers to water content of the root layering of the crop [1]. Collecting data related to soil moisture and weather and other factors by monitoring instruments, the moisture prediction in the period of time can be achieved by mathematical modeling in soil moisture monitor and forecast. The irrigation forecast is a prediction based on the crop water requirement, soil moisture status, weather forecast and other conditions for the date of irrigation. Soil moisture monitor and irrigation forecasting technology can save water and increase production, ensuring the normal growth and development of crops, and maximizing economic benefits. It is a relatively low-cost technology to increase production and income. Domestic scholars have had such research on soil moisture and irrigation forecast. Research on soil moisture monitoring, soil moisture prediction, and irrigation forecasting has been carried out for eggplant, tomato and cucumber under drip irrigation conditions in the greenhouse of Agricultural Demonstration Park of Northland Spring, Wuqing District, Tianjin
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