Smart irrigation control system data with soil moisture, flow meter and electrovalve relay

This data set contains measurements of soil moisture, a flow meter, and the relay status of an electrovalve deployed in a smart irrigation control system. The system has been working succesfully for over two months in a strawberry field in production in Paraguay, 2022. The details of the experiments have been sent as a possible publication to the Journal of Irrigation and Drainage Engineering, under the title Deployment of a smart irrigation control system with capacity-based moisture sensors on a field in production, by L. Orihuela, E. Pacheco, J. Bareiro, A. Tapia and J.M. Manzano. Data collected from July 12 2022 until September 17 2022 is presented. Three data sets are provided, in a CSV format, namely D_moisture, D_valve and D_flowmeter. The three of them contain 2 columns each, and each row is a new measurement collected from the field. In the three of them, the second column, named 'time_stamp' refers to the time stamp of the measurement, in format 'DD-MMM-YYYY hh:mm:ss', expressed in UTC coordinates. The first column indicates the measurement itself, them being: - In D_moisture: the measured soil moisture, measured as a percentage and collected as explained in the mentioned paper. The sampling time is about 20 minutes. It contains 4293 rows. - In D_flowmeter: the cumulative sum of the water volume that has been applied to the field, as measured by the flow meter installed, measured in litres since July 1st 2022. The sampling time is about 5 minutes. It contains 17411 rows. - In D_valve: the state commanded to the relay incharge of the electrovalve in the irrigation system. 1 implies 'open' and 0 implies 'close'. The sampling time is about 5 minutes. It contains 17427 rows. The dataset is open to be used by any researcher, in studies related to machine learning, agricultural soil monitoring or estimation and irrigation control, among others. Citing the aforementioned work is appreciated.本数据集包含部署于智能灌溉控制系统中的土壤湿度、流量计数据以及电磁阀继电器状态的测量值。该系统于2022年在巴拉圭一处量产草莓田中成功运行超过两个月。相关实验细节已以稿件形式投稿至《灌溉与排水工程学报》（Journal of Irrigation and Drainage Engineering），论文标题为《基于容量式湿度传感器（capacity-based moisture sensors）的智能灌溉控制系统在量产农田的部署》，作者为L. Orihuela、E. Pacheco、J. Bareiro、A. Tapia与J.M. Manzano。 本次公开的数据采集时段为2022年7月12日至2022年9月17日。数据集共包含三个CSV（Comma-Separated Values，逗号分隔值）格式文件，分别为D_moisture、D_valve与D_flowmeter。三个文件均包含两列，每一行代表一条田间采集的新测量数据。三个文件的第二列均名为`time_stamp`（时间戳），格式为`DD-MMM-YYYY hh:mm:ss`，采用协调世界时（UTC）标注；第一列为具体测量值，各文件的测量项说明如下： 1. **D_moisture**：实测土壤湿度，以百分比为单位，测量方式详见前述投稿论文，采样间隔约为20分钟，共包含4293条数据。 2. **D_flowmeter**：田间累计灌溉水量，由安装的流量计测得，单位为升，统计起始时间为2022年7月1日，采样间隔约为5分钟，共包含17411条数据。 3. **D_valve**：灌溉系统中控制电磁阀的继电器指令状态，1代表电磁阀开启，0代表关闭，采样间隔约为5分钟，共包含17427条数据。 本数据集面向所有研究人员开放，可用于机器学习、农田土壤监测与评估、灌溉控制等相关研究领域，恳请引用前述投稿论文。