2017Unpublished venueOpen access

The Change Research of Soil Moisture and Temperature in Farm Field

Yueling Zhao, Li Junze, Liang Fanyu, Ruan Weiqiang

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Abstract

Soil temperature and humidity is a dynamic part of the soil properties, it is an important factor of affect the soil fertility.Soil temperature and humidity in different periods of change trend is very different.During each period, according to the comparative analysis of forecast values and measure values simply from the perspective of a model fitting effect, short time interval effect is more ideal than long time interval, the relative error of them is both a hour of relative error is smaller than in days.By the curve estimation method for the forecast of temperature and humidity analysis ,we can see that temperature than the humidity is more suitable for using this method to forecast, the relative error is 1.74% and 7.60%, respectively, relative errors are below 10%.So in the later study ,we can consider to use this method for the forecast of temperature.

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Soil temperature and humidity is a dynamic part of the soil properties, it is an important factor of affect the soil fertility.Soil temperature and humidity in different periods of change trend is very different.During each period, according to the comparative analysis of forecast values and measure values simply from the perspective of a model fitting effect, short time interval effect is more ideal than long time interval, the relative error of them is both a hour of relative error is smaller than in days.By the curve estimation method for the forecast of temperature and humidity analysis ,we can see that temperature than the humidity is more suitable for using this method to forecast, the relative error is 1.74% and 7.60%, respectively, relative errors are below 10%.So in the later study ,we can consider to use this method for the forecast of temperature.

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Available abstract

Soil temperature and humidity is a dynamic part of the soil properties, it is an important factor of affect the soil fertility.Soil temperature and humidity in different periods of change trend is very different.During each period, according to the comparative analysis of forecast values and measure values simply from the perspective of a model fitting effect, short time interval effect is more ideal than long time interval, the relative error of them is both a hour of relative error is smaller than in days.By the curve estimation method for the forecast of temperature and humidity analysis ,we can see that temperature than the humidity is more suitable for using this method to forecast, the relative error is 1.74% and 7.60%, respectively, relative errors are below 10%.So in the later study ,we can consider to use this method for the forecast of temperature.

Key concepts: Environmental science, Moisture, Field (mathematics), Water content, Soil science, Agricultural engineering, Remote sensing, Geology

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