2024−2025年北京温室种植蔬菜作物空气和土壤温湿度数据集

doi:10.19788/j.issn.2096-6369.100067

农业大数据学报 ›› 2025, Vol. 7 ›› Issue (4): 543-550.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

张石锐¹(), 贾宇轩², 李友丽¹, 郭园园³, 曲明山⁴^,^*(), 张馨¹^,^*()

1.北京市农林科学院智能装备技术研究中心，北京 100097
2.山西农业大学，太原 030031
3.农芯科技（北京）有限责任公司，北京 100097
4.北京市农业技术推广站，北京 100029

收稿日期:2025-07-25 修回日期:2025-10-09 出版日期:2025-12-26 发布日期:2025-12-26
通讯作者: 曲明山，E-mail：qumingshan@163.com；
张馨，E-mail：zhangx@nercita.org.cn。
作者简介:张石锐，E-mail：55923572@qq.com。
基金资助:
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)

2024−2025 Dataset of Air and Soil Temperature and Humidity for Greenhouse-Grown Vegetables in Beijing

ZHANG ShiRui¹(), JIA YuXuan², LI YouLi¹, GUO YuanYuan³, QU MingShan⁴^,^*(), ZHANG Xin¹^,^*()

1. Intelligent Equipment Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
2. Shanxi Agricultural University, Taiyuan 030031, China
3. Nongxin Technology (Beijing) Co., Ltd., Beijing 100097, China
4. Beijing Agricultural Technology Extension Station, Beijing 100029, China

Received:2025-07-25 Revised:2025-10-09 Published:2025-12-26 Online:2025-12-26

摘要/Abstract

摘要：

温室蔬菜产业是北京都市现代农业中重要的种植业之一，是京郊农民增收的重要来源。东西垄种植减少了垄的数量，有利于智能水肥决策方法和智能农机装备的应用，是提高温室生产效率的重要手段，然而，用于东西垄种植温室环境研究的数据还较少。2024年5月1日至2025年7月3日期间对北京市小汤山国家精准农业研究示范基地中采用东西垄种植的日光温室中的作物生长环境进行了监测。本数据集包含两季番茄-番茄-黄瓜-快菜4茬温室作物生长环境监测数据，数据包含生育期、空气温度、空气湿度、20cm土壤水分、40 cm土壤水分、60 cm土壤水分、20 cm土壤温度、40 cm土壤温度、60 cm土壤温度。其中空气温湿度数据采集间隔为5 min，土壤墒情数据采集间隔为15 min，数据量为4.59 MB，数据采用xlsx存储。该数据可用于分析不同作物类型下，东西垄温室的环境变化规律，从而制定合理的灌溉计划，构建智能灌溉决策模型。

数据摘要：

项目	描述
数据库（集）名称	2024-2025年北京温室种植蔬菜作物空气和土壤温湿度数据集
所属学科	农业科学
研究主题	温室蔬菜种植
数据时间范围	2024年5月1日－2025年7月3日
时间分辨率	温室空气温湿度数据：5分钟，温室土壤温湿度数据：15分钟
数据类型与技术格式	.xlsx
数据库（集）组成	数据由四个表格文件组成，包含温室春茬番茄种植监测数据表、温室秋茬番茄种植监测数据表、温室黄瓜种植监测数据表和温室快菜种植监测数据表。
数据量	4.59 MB
主要数据指标	生育期、空气温度、空气湿度、20 cm土壤水分、40 cm土壤水分、60 cm土壤水分、20 cm土壤温度、40 cm土壤温度、60 cm土壤温度
数据可用性	CSTR:17058.11.sciencedb.agriculture.00283; https://cstr.cn/17058.11.sciencedb.agriculture.00283 DOI:10.57760/sciencedb.agriculture.00283; https://doi.org/10.57760/sciencedb.agriculture.00283
经费支持	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）。

关键词: 温室蔬菜, 东西垄种植, 温室环境, 温室土壤墒情

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.

Data summary:

Items	Description
Dataset name	2024−2025 Dataset of Air and Soil Temperature and Humidity for Greenhouse-Grown Vegetables in Beijing
Specific subject area	Agricultural Science
Research topic	Greenhouse vegetable cultivation
Time range	2024.5.1−2025.7.3
Emporal resolution	Greenhouse air temperature and humidity data: 5 minutes; Greenhouse soil moisture data: 15 minutes.
Data types and technical formats	.xlsx
Dataset structure	The data consists of three table files, including Spring Crop Tomato Cultivation in Greenhouse Monitoring Data Sheet, Autumn Crop Tomato Cultivation in Greenhouse Monitoring Data Sheet, Cucumber Cultivation Monitoring in Greenhouse Data Sheet and Quick-growing Cabbage Leafy Vegetable Cultivation in Greenhouse Monitoring Data Sheet.
Volume of dataset	4.59 MB
Key index in dataset	Growth periods, Air Temperature, Air Humidity, 20 cm Soil Moisture, 40 cm Soil Moisture, 60 cm Soil Moisture, 20 cm Soil Temperature, 40 cm Soil Temperature, 60 cm Soil Temperature
Data accessibility	DOI:10.57760/sciencedb.agriculture.00283; https://doi.org/10.57760/sciencedb.agriculture.00283 CSTR:17058.11.sciencedb.agriculture.00283; https://cstr.cn/17058.11.sciencedb.agriculture.00283
Financial support	Reform and Development Project of Beijing Academy of Agriculture and Forestry Sciences Research on Soil Moisture Monitoring Technology with Sensing-Computing Integration and R&D of Intelligent Sensors (GGFZ20240116).

Key words: greenhouse vegetables, east-west ridge planting, greenhouse environment, greenhouse soil moisture

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.

ZHANG ShiRui, JIA YuXuan, LI YouLi, GUO YuanYuan, QU MingShan, ZHANG Xin. 2024−2025 Dataset of Air and Soil Temperature and Humidity for Greenhouse-Grown Vegetables in Beijing[J]. Journal of Agricultural Big Data, 2025, 7(4): 543-550.

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参考文献 9

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[7]	于威, 刘文合, 白义奎, 等. 基于CFD的两连跨日光温室热环境模拟. 农业工程学报, 2023, 39(16):215-222. DOI:10.11975/j.issn.1002-6819.202305209
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时间	空气温度（℃）	空气湿度（%）
2024-08-27 00:00:36	24.20	89.24
2024-08-27 00:05:03	24.22	89.08
2024-08-27 00:10:03	24.12	88.79
2024-08-27 00:15:03	24.10	88.99
2024-08-27 00:20:03	24.00	88.88

时间	20cm土壤水分（%）	40cm土壤水分（%）	60cm土壤水分（%）	20cm土壤温度（℃）	40cm土壤温度（℃）	60cm土壤温度（℃）
2024-08-27 15:32:55	27.12	41.35	46.46	28.25	27.31	27.06
2024-08-27 15:37:56	27.14	41.35	46.46	28.31	27.31	27.00
2024-08-27 15:42:59	27.14	41.34	46.45	28.31	27.38	27.06
2024-08-27 15:48:01	27.15	41.33	46.45	28.31	27.31	27.00
2024-08-27 15:53:04	27.16	41.33	46.45	28.31	27.31	27.00

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

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