Construction method of kumquat yield area forecasting model based on meteorological conditions
A construction method and forecasting model technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as the inability to realize kumquat yield forecasting, and achieve the effects of high forecasting accuracy, simple model, and easy access to parameters
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[0026] Step 1: Preparation of gold orange production data;
[0027] According to the relevant department survey and data analysis, 1990-2019 Guangxi Ronganjin orange production is small, the year, the large year, the year, the secondary, the small year, 5, 4, 3, 2 respectively ,1;
[0028] Step 2: Prepare meteorological data;
[0029] In 1990-2019, Guangxi Rongan meteorological data is derived from National Meteorological Stations, and meteorological data includes the highest temperature, the average temperature, the lowest temperature, the average relative humidity, minimum relative humidity, precipitation, and sunshine hours.
[0030] Step 3: Determine the regional forecasting concept model;
[0031] P = f (x 1 ; X 2 ; X 3 ; X 4 ); Where: X 1 , X 2 , X 3 , X 4 From January-February rainfall accumulated (negatively related), the average daily temperature average (positive correlation) in July, the average minimum humidity average (negatively related) in July, and the rainfall in ...
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