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Remote soil moisture data collection in southern Alberta

Remote soil moisture data collection in southern Alberta
艾伯塔省南部远程土壤湿度数据收集
批准号:
549034-2019
负责人:
Corscadden, Kenneth
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

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中文摘要
翻译
尽管土壤水分观测的能力,以显着提高农业用水效率,并提供重要的产量和产品质量的提高,他们仍然利用不足的灌溉水管理在南阿尔伯塔。Jadler Industries和Random Acronym是用于远程现场数据监控的FieldTracker遥测设备的生产商。FieldTracker专为需要实时观察和报告流量、水位、温度和水化学等变量的工业操作而设计。目前,Jadler工业公司和Random Acronym公司正在将天气和土壤湿度传感器纳入一个针对阿尔伯塔南部农业的软件包中。土壤含水量是通过分析电流在土壤中的行为来间接测量的。在将基础观测转化为与农民相关的信息之前,需要进行多次校正。莱斯布里奇学院建议通过对一组实验土壤箱进行室内实验来帮助Jadler Industries和Random Acronym解决这个问题。实验的目的是回答以下问题:1.对于每一个选定的传感器,需要什么水平的校正和校准,以提供准确和可靠的土壤含水量输出?2.能否用时间序列分析方法代替室内试验来完成VWC数据的校准和向灌溉信息的转换?
英文摘要
Despite the ability of soil moisture observations to significantly increase agricultural water use efficiency and provide important increases in yield and product quality, they remain under-utilised in irrigation watermanagement in Southern Alberta. Jadler Industries and Random Acronym are producers of the FieldTracker Telemetry Device for remote field data monitoring. The FieldTracker was designed for industrial operations that require real-time observation and reporting of variables such as flow rate, water level, temperature, andwater chemistry. Currently, Jadler Industries and Random Acronym are incorporating weather and soilmoisture sensors into a package aimed at the agricultural industry in Southern Alberta. Soil moisture content is measured indirectly by analyzing the behaviour of electric currents through soils. The base observations requiremultiple corrections before being translated to information that is relevant for farmers. Lethbridge Collegeproposes to assist Jadler Industries and Random Acronym with this problem through an indoor experiment on aset of experimental soil bins. The goal of the experiment is to answer the following questions:1.What level of correction and calibration is required for each of the selected sensors to provide an accurate and reliable output of soil moisture content?2.Can calibration and transformation of VWC data to irrigation information be accomplished with a time seriesanalysis method instead of laboratory experiment?
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