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物联网（IoT）的数据，此类数据通过长距离广域网（LoRaWAN）商用设备采集自意大利帕尔马市"Azienda Sperimentale Stuard"（斯图阿德实验农场）的番茄（*Solanum lycopersicum* L. cv. HEINZ 1301）种植基地，其地理坐标为纬度44.80787、经度10.27467，同时包含Agriware平台生成的配套数据。

具体而言，该实验农场内用于管控番茄作物灌溉的物联网灌溉系统，设置了3组实验分区，分别对应3种不同的灌溉制度：（i）分区1的灌溉水量与意大利"Irriframe"平台（https://www.irriframe.it/）的推荐水量完全一致；（ii）分区2的灌溉水量为分区1的60%；（iii）分区3的灌溉水量为分区1的30%。

本数据集共包含4个逗号分隔值（CSV）文件。其中3个文件存储由物联网设备（环境传感器、水表及土壤传感器）采集、每10分钟采样一次的如下信息：时间戳、设备标识符、空气湿度与温度、二氧化碳（CO₂）浓度、大气压强、电池剩余电量、番茄实验分区标识符、灌溉水量、土壤电导率、土壤湿度及土壤温度。剩余1个CSV文件存储由Agriware平台主要基于每日平均气温计算得到的农艺指标日值，具体包括：生长度日（Growing Degree Days，GDD）与热量单位日值（即标准日度、日平均气温、高于基准温度*T_base*的日最高气温、日最高气温、扣除截断温度*T_cutoff*后的高于基准温度*T_base*的日最高气温、安大略省热量单位）。

各CSV文件的完整说明可参见README.txt文件。

本数据集依托以下两项项目生成：（i）Agritech项目——"农业技术国家研究中心"，项目编号CN00000022，由国家恢复与复苏计划（NRRP）资助，隶属于任务4组件2投资1.4项，依据意大利大学与研究部2021年12月16日发布的第3138号招标公告立项，该计划由欧盟下一代欧盟（NextGenerationEU）提供资金支持，相关资助法令为意大利大学与研究部2022年6月17日发布的第1032号法令；（ii）SMALLDERS项目——"基于数字技术的农产品本地价值链智能模型：助力新冠疫情韧性与可持续发展"，由PRIMA计划2021年多主题第2节招标资助，合作方包括以下国家主管部门：意大利大学与研究部（MUR）、西班牙国家研究局（AEI）、法国国家科研署（ANR）、突尼斯高等教育与科学研究部。本数据集仅反映作者观点，欧洲委员会不对数据集所含信息的任何使用行为承担责任。

搜集汇总

背景与挑战

背景概述

该数据集是基于物联网技术收集的番茄种植实验数据，重点研究不同灌溉制度对作物生长的影响。数据来源于意大利帕尔马的一个番茄种植园，通过LoRaWAN设备每10分钟记录环境、土壤和用水量等多维度传感器数据，并包含每日农艺指标计算。数据集覆盖三个灌溉处理（推荐水量、60%水量和30%水量），适用于农业灌溉优化、作物管理和物联网应用研究。