2024−2025年北京温室种植蔬菜作物空气和土壤温湿度数据集
收稿日期: 2025-07-25
修回日期: 2025-10-09
网络出版日期: 2025-12-26
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
Received date: 2025-07-25
Revised date: 2025-10-09
Online published: 2025-12-26
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; |
| 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）。 |
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 . DOI: 10.19788/j.issn.2096-6369.100067
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; |
| 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). |
| [1] | 王爱玲, 李凌云, 串丽敏, 等. 北京市设施蔬菜产业现状、问题与对策. 中国蔬菜, 2023(3):8-14. |
| WANG A L, LI L Y, CHUAN L M, et al. Present status, problems and countermeasures of facility vegetable industry in Beijing. China Vegetables, 2023(3):8-14. | |
| [2] | 北京市统计局, 国家统计局北京调查总队. 北京统计年鉴2024[M]. 中国统计出版社, 2024. |
| Beijing Municipal Bureau of Statistics, Beijing Survey Team of the National Bureau of Statistics. Beijing statistical yearbook 2024[M]. China Statistics Press, 2024. | |
| [3] | 苏秋芳. 智慧农业赋能北京市农业高质量发展. 农业工程, 2024, 14(6): 34-38. |
| SU Q F. Smart agriculture enabling high-quality agricultural development in beijing city. Agricultural Engineering, 2024, 14(6): 34-38. | |
| [4] | 胡长增, 申晨, 冯栋栋, 等. 基于物联网的温室智能化灌溉系统. 河北农业大学学报, 2021, 44(4):103-108. |
| HU C Z, SHEN C, FENG D D, et al. Intelligent greenhouse irrigation system based on the internet of things. Journal of Hebei Agricultural University, 2021, 44(4): 103-108. | |
| [5] | 薛希霞. 蔬菜栽培技术中智慧农业及机械的应用策略. 农业工程技术, 2023, 43(17):28-30. |
| XUE X X. Application strategies of smart agriculture and machinery in vegetable cultivation technology. Agricultural Engineering Technology, 2023, 43(17): 28-30. | |
| [6] | 李宝石, 刘文科, 王奇, 等. 起垄内嵌基质栽培对日光温室夏季黄瓜根区温度、生长和产量的影响. 中国农业科技导报, 2022, 24(2):177-183. DOI:10.13304/j.nykjdb.2020.0862. |
| LI B S, LIU W K, WANG Q, et al. Effects of ridge-embedded substrate cultivation on root zone temperature, growth and yield of cucumbers in solar greenhouses in summer. Journal of Agricultural Science & Technology, 2022, 24(2):177-183. DOI:10.13304/j.nykjdb.2020.0862. | |
| [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 |
| YU W, LIU W H, BAI Y K, et al. CFD-Based thermal environment simulation of a two-span solar greenhouse. Transactions of the Chinese Society of Agricultural Engineering, 2023, 39(16): 215-222. | |
| [8] | LI L, HAN F, LI J, et al. The development of variable system-based internet of things for the solar greenhouse and its application in lettuce. Frontiers in Plant Science, 2024, 15: 1292719. DOI:10.3389/fpls.2024.1292719. |
| [9] | 韩芙蓉. 日光温室东西垄种植的蔬菜分区灌溉系统构建与应用研究[D]. 太古: 山西农业大学, 2024. |
| HAN F R. Research on the construction and application of zoned irrigation system for vegetables under east-west ridge planting in solar greenhouses[D].Taigu: Shanxi Agricultural University, 2024. |
/
| 〈 |
|
〉 |