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首页> 外文期刊>American journal of agricultural and biological sciences >Evaluation of Soil Moisture Sensors under Intelligent Irrigation Systems for Economical Crops in Arid Regions | Science Publications
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Evaluation of Soil Moisture Sensors under Intelligent Irrigation Systems for Economical Crops in Arid Regions | Science Publications

机译:干旱区经济作物智能灌溉系统土壤湿度传感器评价科学出版物

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> Problem statement: In irrigation water management, irrigation water use represents a substantial opportunity for agriculture water savings. Automation of irrigation systems, based on Soil Moisture Sensors Systems (SMSS) has the potential to provide maximum water use efficiency by maintaining soil moisture at optimum levels. Approach: The objective of this research was to evaluate the performance of soil moisture sensors under field conditions during growing season in two different irrigated. This evaluation to be conducted with regard to accuracy; precision; quickness of the response to moisture variation. Moreover to quantify the easiness of use, this encompasses installing and operating the instrument as well as interpreting the readings. Results: The Watermark resulted in higher tension readings than the tensiometers. While Watermark showed a consistent and increasingly drier estimate of water content compared to tensiometers. However, the trend of soil water tension curves that resulted from both treatments was very similar. The linear relationships of the Soil Moisture Content (SMC) obtained from all sensors and gravimetric measurement were observed to be best fit. The correlations (R2) are ranging from 0.96-0.98 and from 0.91-0.95 for tensiometers and watermarks successively. The statistical analyses indicate that changeability existed between soil water contents by the sensors and the gravimetric method. Conclusion: Soil Moisture Sensors Systems (SMSS) can be used: To monitor soil moisture sensors under wheat crop cultivation practices using intelligent irrigation system. The tensiometers and Watermarks were less responsive to the soil drying between irrigations than GM. So, Watermark can operate in a drier range than tensiometers, but with a lower resolution at the wet end of soil water tension. Anyhow, watermark remains a good tool for automatic irrigation scheduling and be integrated with inelegant irrigation systems even the noted drawbacks.
机译: > 问题陈述:在灌溉水管理中,灌溉用水是农业节水的重要机会。基于土壤湿度传感器系统(SMSS)的灌溉系统自动化有潜力通过将土壤湿度保持在最佳水平来提供最大的用水效率。 方法:本研究的目的是评估两种不同灌溉条件下生长季节田间条件下土壤湿度传感器的性能。进行准确性评估;精确;快速响应水分变化。此外,为了量化易用性,这包括安装和操作仪器以及解释读数。结果:水印产生的张力读数比张力计高。与张力仪相比,水印显示出对水分含量的一致且越来越干燥的估计。但是,两种处理方法引起的土壤水分张力曲线趋势非常相似。从所有传感器和重量测量获得的土壤水分含量(SMC)的线性关系被认为是最合适的。对于张力计和水印,相关性(R 2 )的范围分别为0.96-0.98和0.91-0.95。统计分析表明,传感器和重量法在土壤含水量之间存在变化。 结论:可以使用土壤湿度传感器系统(SMSS):使用智能灌溉系统在小麦作物栽培实践中监测土壤湿度传感器。灌溉之间的张力计和水印对土壤干燥的响应不如GM。因此,Watermark可以在比张力计更干燥的范围内运行,但在土壤水张力的湿端分辨率较低。无论如何,水印仍然是自动进行灌溉计划的良好工具,甚至可以与缺点明显的灌溉系统集成在一起。

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