IoT-based Dataset of a Tomato Cultivation Under Different Irrigation Regimes

This experimental dataset contains IoT-based data collected through Long Range Wide Area Network (LoRaWAN) commercial devices in a tomato (Solanum lycopersicum L. cv. HEINZ 1301) cultivation located at the “Azienda Sperimentale Stuard” in Parma, Italy (lat: 44.80787, lon: 10.27467), and data generated by the Agriware platform.

More in detail, the IoT-based irrigation system located in the “Azienda Sperimentale Stuard” to manage the watering of the tomato crop has been organized with 3 experimental lines associated with 3 different watering regimes: (i) Line #1 was irrigated with a water quantity equal to the recommendation of the Italian “Irriframe” platform (https://www.irriframe.it/); (ii) Line #2 was irrigated with a water quantity equal to the 60% of Line #1; (iii) Line #3 was irrigated with a water quantity equal to the 30% of Line #1.

The dataset is composed of 4 CSV files. Three of these files contain the following information, generated by IoT devices (environmental sensor, water meters, and soil sensors) and sampled every 10 minutes: timestamp; device identifier; air moisture and temperature; carbon dioxide (CO2) level; barometric pressure; battery percentage; tomato line identifier; water volume; soil electrical conductivity, moisture, and temperature. The remaining CSV file contains daily values of agronomic indicators, calculated through the Agriware platform mainly using the average daily air temperature values, such as: the daily values of Growing Degree Days (GDD) and Heat Units (namely: standard day degree, daily mean temperature, daily maximum temperature above T_base, daily maximum temperature, daily maximum temperature above T_base with reduction of T_cutoff, Ontario units.)

A complete description of the CSV file can be found in the README.txt file.

The dataset has been generated in the context of the following two projects: (i) Agritech - “National Research Centre for Agricultural Technologies,” project code CN00000022, funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender no. 3138 of 16/12/2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU, Concession Decree no. 1032 of 17/06/2022 adopted by the Italian Ministry of University and Research; and (ii) SMALLDERS - “Smart Models for Agrifood Local vaLue chain based on Digital technologies for Enabling covid-19 Resilience and Sustainability,” co-funded by the PRIMA Program - Section 2 Call multi-topics 2021, through the following National Authorities: Ministry of Universities and Research (MUR, Italy), State Research Agency (AEI, Spain), Agence Nationale de la Recherche (ANR, France), Ministry of Higher Education and Scientific Research (Tunisia). The dataset reflects only the authors’ views; the European Commission is not responsible for any use that may be made of the information it contains.

本实验数据集包含基于长距离广域网（Long Range Wide Area Network, LoRaWAN）商用设备采集的物联网数据，采集地点位于意大利帕尔马的"Azienda Sperimentale Stuard"实验农场，种植品种为番茄（Solanum lycopersicum L. cv. HEINZ 1301），经纬度为44.80787°N，10.27467°E，同时包含Agriware平台生成的数据。

具体而言，该农场用于管理番茄作物灌溉的物联网灌溉系统设置了3个实验处理组，分别对应3种不同的灌溉制度：(i) 实验组1（Line #1）按照意大利"Irriframe"平台（https://www.irriframe.it/）的推荐水量进行灌溉；(ii) 实验组2（Line #2）的灌溉水量为实验组1的60%；(iii) 实验组3（Line #3）的灌溉水量为实验组1的30%。

本数据集共包含4个CSV格式文件。其中3个文件存储物联网设备（环境传感器、水表、土壤传感器）每10分钟采集的采样数据，字段包括：时间戳、设备标识符、空气湿度与温度、二氧化碳（CO₂）浓度、大气压、电池电量百分比、番茄实验小区标识符、灌溉水量、土壤电导率、土壤湿度与土壤温度。剩余1个CSV文件存储由Agriware平台主要基于日均气温计算得到的每日农艺指标值，具体包括：生长度日（Growing Degree Days, GDD）与热量单位（涵盖标准日度、日平均气温、高于基准温度T_base的日最高气温、日最高气温、经T_cutoff修正的高于T_base的日最高气温、安大略省热量单位）。

CSV文件的完整说明可参见README.txt文件。

本数据集生成于以下两项研究项目：(i) Agritech项目——"农业技术国家研究中心"，项目编号CN00000022，由国家恢复与韧性计划（National Recovery and Resilience Plan, NRRP）资助，对应任务4组件2投资1.4——意大利大学与研究部2021年12月16日第3138号招标，由欧盟下一代欧盟（NextGenerationEU）资助，经意大利大学与研究部2022年6月17日第1032号特许令批准；(ii) SMALLDERS项目——"基于数字技术的农食本地价值链智能模型，助力新冠疫情韧性与可持续性"，由PRIMA计划2021年多主题第2节招标资助，合作方包括意大利大学与研究部（Ministry of Universities and Research, MUR, Italy）、西班牙国家研究局（State Research Agency, AEI, Spain）、法国国家科研署（Agence Nationale de la Recherche, ANR, France）以及突尼斯高等教育与科学研究部。本数据集仅代表作者个人观点，欧盟委员会不对本数据集所含信息的任何使用承担责任。