Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data
This dataset contains data collected in a tomato cultivation (namely, a Solanum lycopersicum L. cv. HEINZ 1301 cultivation) located at the “Azienda Sperimentale Stuard,” Parma, Italy, through an IoT infrastructure featuring Long Range Wide Area Network (LoRaWAN)-enabled commercial devices deployed i...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925002537 |
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| author | Laura Belli Luca Davoli Giulia Oddi Luca Preite Martina Galaverni Tommaso Ganino Gianluigi Ferrari |
| author_facet | Laura Belli Luca Davoli Giulia Oddi Luca Preite Martina Galaverni Tommaso Ganino Gianluigi Ferrari |
| author_sort | Laura Belli |
| collection | DOAJ |
| description | This dataset contains data collected in a tomato cultivation (namely, a Solanum lycopersicum L. cv. HEINZ 1301 cultivation) located at the “Azienda Sperimentale Stuard,” Parma, Italy, through an IoT infrastructure featuring Long Range Wide Area Network (LoRaWAN)-enabled commercial devices deployed in the crop during the summer 2023 period (June 29–September 13). The IoT architecture also controls the irrigation system deployed to manage the watering conditions in the tomato crop, in detail considering three different experimental lines (each one associated with a different irrigation regime): (i) line #1 was irrigated with a water quantity equal to the irrigation recommendation provided by a national cloud service, denoted as Irriframe and developed by the Water Boards Italian Association (ANBI); (ii) line #2 was irrigated with a water quantity equal to 60% of line #1; (iii) line #3 was irrigated with a water quantity equal to 30% of line #1. The dataset comprises 4 different CSV files. The first three files (named as “stuard_environmental_data.csv,” “stuard_water_meter_data.csv,” and “stuard_soil_data.csv”) contain the information sampled every 10 minute by the IoT devices deployed in the crop—one environmental sensor, three water meters, and three soil sensors. The fourth CSV file (named as “indicators.csv”) contains the values of agronomic indicators of interest, calculated daily and mainly depending on daily air temperature values: (i) the Growing Degree Days (GDD) index and (ii) the Heat Units indicators, both calculated on the collected experimental tomato crop data. |
| format | Article |
| id | doaj-art-9714f73fadbc4bf496dcd99e1ff8db3a |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-9714f73fadbc4bf496dcd99e1ff8db3a2025-08-20T03:25:05ZengElsevierData in Brief2352-34092025-06-016011152110.1016/j.dib.2025.111521Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley DataLaura Belli0Luca Davoli1Giulia Oddi2Luca Preite3Martina Galaverni4Tommaso Ganino5Gianluigi Ferrari6Internet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy; Corresponding author.Internet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyInternet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Systems Engineering and Industrial Technologies, University of Parma, 43124 Parma, ItalyCrop and Plant Science (Cro.P.S.) Lab, Department of Food and Drug, University of Parma, 43124 Parma, ItalyCrop and Plant Science (Cro.P.S.) Lab, Department of Food and Drug, University of Parma, 43124 Parma, ItalyInternet of Things (IoT) Lab, Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyThis dataset contains data collected in a tomato cultivation (namely, a Solanum lycopersicum L. cv. HEINZ 1301 cultivation) located at the “Azienda Sperimentale Stuard,” Parma, Italy, through an IoT infrastructure featuring Long Range Wide Area Network (LoRaWAN)-enabled commercial devices deployed in the crop during the summer 2023 period (June 29–September 13). The IoT architecture also controls the irrigation system deployed to manage the watering conditions in the tomato crop, in detail considering three different experimental lines (each one associated with a different irrigation regime): (i) line #1 was irrigated with a water quantity equal to the irrigation recommendation provided by a national cloud service, denoted as Irriframe and developed by the Water Boards Italian Association (ANBI); (ii) line #2 was irrigated with a water quantity equal to 60% of line #1; (iii) line #3 was irrigated with a water quantity equal to 30% of line #1. The dataset comprises 4 different CSV files. The first three files (named as “stuard_environmental_data.csv,” “stuard_water_meter_data.csv,” and “stuard_soil_data.csv”) contain the information sampled every 10 minute by the IoT devices deployed in the crop—one environmental sensor, three water meters, and three soil sensors. The fourth CSV file (named as “indicators.csv”) contains the values of agronomic indicators of interest, calculated daily and mainly depending on daily air temperature values: (i) the Growing Degree Days (GDD) index and (ii) the Heat Units indicators, both calculated on the collected experimental tomato crop data.http://www.sciencedirect.com/science/article/pii/S2352340925002537Internet of thingsSensorsAgricultural irrigationTomatoWaterSoil |
| spellingShingle | Laura Belli Luca Davoli Giulia Oddi Luca Preite Martina Galaverni Tommaso Ganino Gianluigi Ferrari Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data Data in Brief Internet of things Sensors Agricultural irrigation Tomato Water Soil |
| title | Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data |
| title_full | Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data |
| title_fullStr | Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data |
| title_full_unstemmed | Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data |
| title_short | Smart agriculture dataset in a tomato cultivation under different irrigation regimesMendeley Data |
| title_sort | smart agriculture dataset in a tomato cultivation under different irrigation regimesmendeley data |
| topic | Internet of things Sensors Agricultural irrigation Tomato Water Soil |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925002537 |
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