Soil Moisture, Air temperature, humidity, and Motor on/off Monitoring data

Automated irrigation systems are emerging methods for irrigation crops with the required amount of water, which conserves water wastage and avoids overirrigating crops. To train the automated irrigation method, we require the data set for better decision-making and controlling the irrigation system. The data set is collected from various sensors, for example, Capacitive soil moisture sensors and DHT-11 sensors. These data sets can be used to analyze and make decisions about controlling the automated irrigation system. Soil moisture, air temperature, and humidity are measured, and based on the soil moisture, the water motor's on/off status can be controlled.自动化灌溉系统是一种按需为作物供给水分的新兴灌溉技术，可减少水资源浪费，避免作物过度灌溉。为训练自动化灌溉模型，我们需要依托该数据集以实现更精准的灌溉决策与系统调控。本数据集采集自多种传感器，例如电容式土壤湿度传感器（Capacitive soil moisture sensors）与DHT-11传感器。该数据集可用于分析并制定自动化灌溉系统的调控决策，其采集的指标包括土壤湿度、空气温度与湿度，可基于土壤湿度数据控制抽水电机的启停状态。