Data Collection and Analytics from Soil Sensors and Weather Stations at Production Farms

本数据集由普渡大学创建，包含三个生产农场的土壤传感器数据和两个天气站的数据，覆盖五个月的时间。数据集详细记录了土壤温度、湿度、电导率以及天气条件，如降雨量等。创建过程中，研究人员部署了基于LoRa技术的传感器网络，以提高数据收集的可靠性和范围。该数据集主要用于精准农业研究，帮助农民优化肥料使用，提高作物产量，同时保护环境。

This dataset was created by Purdue University, comprising soil sensor data from three production farms and data from two weather stations, spanning a five-month period. It comprehensively records soil parameters including temperature, moisture, and electrical conductivity, as well as weather conditions such as rainfall. During its development, researchers deployed a LoRa-based sensor network to improve the reliability and coverage of data collection. This dataset is primarily designed for precision agriculture research, enabling farmers to optimize fertilizer application, boost crop yields, and protect the environment.