4.6 Article

Evaluating the accuracy of soil water sensors for irrigation scheduling to conserve freshwater

期刊

APPLIED WATER SCIENCE
卷 2, 期 2, 页码 119-125

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s13201-012-0032-7

关键词

Arid regions; Freshwater conservation; Irrigated pecans; Irrigation scheduling; Real time soil moisture data; Soil moisture sensors; Water scarcity

资金

  1. Efficient Irrigation for Water Conservation in the Rio Grande Basin project - National Institute of Food and Agriculture, U.S. Department of Agriculture [2009-34461-19772]
  2. NIFA-USDA

向作者/读者索取更多资源

In the Trans-Pecos area, pecan [Carya illinoinensis (Wangenh) C. Koch] is a major irrigated cash crop. Pecan trees require large amounts of water for their growth and flood (border) irrigation is the most common method of irrigation. Pecan crop is often over irrigated using traditional method of irrigation scheduling by counting number of calendar days since the previous irrigation. Studies in other pecan growing areas have shown that the water use efficiency can be improved significantly and precious freshwater can be saved by scheduling irrigation based on soil moisture conditions. This study evaluated the accuracy of three recent low cost soil water sensors (ECH2O-5TE, Watermark 200SS and Tensiometer model R) to monitor volumetric soil water content (hv) to develop improved irrigation scheduling in a mature pecan orchard in El Paso, Texas. Results indicated that while all three sensors were successful in following the general trends of soil moisture conditions during the growing season, actual measurements differed significantly. Statistical analyses of results indicated that Tensiometer provided relatively accurate soil moisture data than ECH2O-5TE and Watermark without site-specific calibration. While ECH2O-5TE overestimated the soil water content, Watermark and Tensiometer underestimated. Results of this study suggested poor accuracy of all three sensors if factory calibration and reported soil water retention curve for study site soil texture were used. This indicated that sensors needed site-specific calibration to improve their accuracy in estimating soil water content data.

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