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: Lethbridge Community College
• 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
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=681100
• 关键词: Remote; soil; moisture; data; collection

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?

尽管土壤水分观测能够显着提高农业用水效率并提供产量和产品质量的重要提高，但它们在艾伯塔省南部的灌溉水管理方面仍然不足。 Jadler Industries和随机缩写是用于远程字段数据监视的现场跟踪设备的生产商。现场跟踪器设计用于需要实时观察和报告变量（例如流速，水位，温度和水化学）的工业操作。目前，Jadler Industries和随机首字母缩写词将天气和土壤的传感器纳入针对艾伯塔省南部农业产业的包装。通过分析通过土壤的电流行为，间接测量土壤水分含量。基本观察结果要求在转化为与农民相关的信息之前进行校正。莱斯布里奇大学（Lethbridge College Proposes）通过对实验性土壤箱的ASET进行室内实验来帮助Jadler Industries和随机缩写该问题。实验的目的是回答以下问题：1。每个选定的传感器需要采取哪些校正和校准水平，以提供土壤水分含量的准确和可靠的输出？2.可以将VWC数据的校准和转换为灌溉信息可以通过时间序列分析方法而不是实验室实验来完成？