农业大数据学报2025，Vol.7Issue(4)：543-550,8.DOI:10.19788/j.issn.2096-6369.100067
2024-2025年北京温室种植蔬菜作物空气和土壤温湿度数据集
2024-2025 Dataset of Air and Soil Temperature and Humidity for Greenhouse-Grown Vegetables in Beijing
摘要
Abstract
The greenhouse vegetable industry is one of the important planting sectors in Beijing's urban modern agriculture and a key source of income growth for farmers in the suburbs of Beijing.East-west ridge planting reduces the number of ridges,which is conducive to the application of intelligent water-fertilizer decision-making methods and intelligent agricultural machinery and equipment,and serves as an important means to improve greenhouse production efficiency.However,there is still a lack of data for researching the greenhouse environment under east-west ridge planting.From May 1,2024 to July 3,2025,the crop growth environment in solar greenhouses with east-west ridge planting at the Beijing Xiaotangshan National Precision Agriculture Research and Demonstration Base was monitored.This dataset includes monitoring data of the greenhouse crop growth environment for 4 successive crops,namely two seasons of tomatoes,followed by cucumbers and rapid-growing vegetables.The data covers the growth period,air temperature,air humidity,20 cm soil moisture,40 cm soil moisture,60 cm soil moisture,20cm soil temperature,40 cm soil temperature,and 60 cm soil temperature.Among the data,the collection interval for air temperature and humidity data is 5 minutes,while that for soil moisture data is 15 minutes.The total data size is 4.59 MB,and the data is stored in XLSX format.This dataset can be used to analyze the environmental change patterns of greenhouses with east-west ridges under different crop types,thereby formulating reasonable irrigation plans and constructing intelligent irrigation decision-making models.关键词
温室蔬菜/东西垄种植/温室环境/温室土壤墒情Key words
greenhouse vegetables/east-west ridge planting/greenhouse environment/greenhouse soil moisture引用本文复制引用
张石锐,贾宇轩,李友丽,郭园园,曲明山,张馨..2024-2025年北京温室种植蔬菜作物空气和土壤温湿度数据集[J].农业大数据学报,2025,7(4):543-550,8.基金项目
北京市农林科学院改革与发展项目感算融合的土壤墒情监测技术研究与智能传感器研发(GGFZ20240116). （GGFZ20240116）
