Construction method of citrus yield area forecasting model based on meteorological condition
A technology for forecasting models and construction methods, which is applied in forecasting, instruments, complex mathematical operations, etc., and can solve problems such as the inability to realize the forecast of citrus production
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[0026] Step 1: Prepare the citrus big small annual data;
[0027] Model user monitoring or other way to obtain at least 1000 mu of citrus in the same area for more than 10 years of monitoring data; citrus production is divided by level 5: New Year, biased year, blood year, bias year, difference, corresponding assignment is 5, 4, 3, 2, 1 value.
[0028] Step 2: Prepare meteorological data;
[0029] From 1990 to 2019, the Guangxi peace weather data comes from the National Meteorological Station, and meteorological data includes the highest temperature, the average temperature, the lowest temperature, the average relative humidity, minimum relative humidity, precipitation, and sunshine.
[0030] Step 3: The regional forecast concept model is:
[0031] P i = F (x 1 ; X 2 ; X 3 ; X 4 ); Where: X 1 , X 2 , X 3 , X 4 The average of the average humidity of January, the average of the highest temperature in February, the cumulative value of the daily sunshine time of 31 days from May 1 - M...
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