绍兴市丁宅乡金立波农场土壤THI分析数据

采集绍兴市丁宅乡金立波农场的土壤温度和土壤湿度数据，分析土壤温度湿度指数(THI)，可以为农业生产、植物生长监测和灾害预警等领域提供重要的参考数据，帮助农民、园艺师和相关专业人员做出科学决策，提高生产效益和资源利用效率。采集绍兴市丁宅乡金立波农场的土壤温度和土壤湿度数据，综合考虑上述数据可计算农场土壤的温度湿度指数(THI)，其计算公式为：THI = 0.8 × 温度 + 湿度 × （温度 - 14.4） + 46.4。
THI是描述土壤中温度和湿度状况的重要指标，可以为农业生产、植物生长监测和灾害预警等领域提供重要的参考数据，帮助农民、园艺师和相关专业人员做出科学决策，提高生产效益和资源利用效率。

Soil temperature and soil moisture data were collected from Jinlibo Farm, Dingzhai Township, Shaoxing City. Analyzing the Soil Temperature and Humidity Index (THI) derived from these datasets offers critical reference data for multiple domains including agricultural production, plant growth monitoring, and disaster early warning, empowering farmers, horticulturists, and relevant professionals to make evidence-based decisions and thus enhance production benefits and resource utilization efficiency. Soil temperature and soil moisture data collected from Jinlibo Farm, Dingzhai Township, Shaoxing City can be integrated to calculate the farm's soil THI, with the calculation formula presented as follows: THI = 0.8 × Temperature + Humidity × (Temperature - 14.4) + 46.4. THI serves as a vital indicator characterizing the temperature and moisture status in soil, providing critical reference data for fields such as agricultural production, plant growth monitoring, and disaster early warning, and assisting farmers, horticulturists, and relevant professionals in making scientific decisions to improve production benefits and resource utilization efficiency.

搜集汇总

数据集介绍

特点

该数据集包含绍兴市丁宅乡金立波农场的土壤温度、湿度和THI指数数据，共计5001条记录，用于农业生产、植物生长监测和灾害预警等领域。THI指数通过特定公式计算，为农业决策提供科学依据。