The Change Research of Soil Moisture and Temperature in Farm Field

DOI

10.2991/icemc-17.2017.154How to use a DOI?

Keywords

Soil temperature; Soil moisture; Time sequence; Model prediction

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhao Yueling
AU  - Li Junze
AU  - Liang Fanyu
AU  - Ruan Weiqiang
PY  - 2016/06
DA  - 2016/06
TI  - The Change Research of Soil Moisture and Temperature in Farm Field
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 758
EP  - 762
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.154
DO  - 10.2991/icemc-17.2017.154
ID  - Yueling2016/06
ER  -