An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes

The exploitation of modern technologies in heterogeneous farming scenarios with different crops cultivation is nowadays an effective solution to implement the concept of Smart Agriculture (SA). Following this approach, in this study the tomato plants’ response to different irrigation regimes is inve...

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Autores principales: Galaverni, M., Oddi, G., Preite, L., Belli, L., Davoli, L., Marchioni, I., Rodolfi, M., Solari; F., Beghe, D., Ganino, T., Vignali, G., Ferrari, G.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2025
Acceso en línea:https://hdl.handle.net/10568/173918
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author Galaverni, M.
Oddi, G.
Preite, L.
Belli, L.
Davoli, L.
Marchioni, I.
Rodolfi, M.
Solari; F.
Beghe, D.
Ganino, T.
Vignali, G.
Ferrari, G.
author_browse Beghe, D.
Belli, L.
Davoli, L.
Ferrari, G.
Galaverni, M.
Ganino, T.
Marchioni, I.
Oddi, G.
Preite, L.
Rodolfi, M.
Solari; F.
Vignali, G.
author_facet Galaverni, M.
Oddi, G.
Preite, L.
Belli, L.
Davoli, L.
Marchioni, I.
Rodolfi, M.
Solari; F.
Beghe, D.
Ganino, T.
Vignali, G.
Ferrari, G.
author_sort Galaverni, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description The exploitation of modern technologies in heterogeneous farming scenarios with different crops cultivation is nowadays an effective solution to implement the concept of Smart Agriculture (SA). Following this approach, in this study the tomato plants’ response to different irrigation regimes is investigated through the implementation of an Internet of Things (IoT)-oriented SA data collection and monitoring system. In particular, the experimentation is conducted on tomatoes grown at three different irrigation regimes: namely, at 100%, 60%, and 30% of the Italian irrigation recommendation service, denoted as Irriframe. The proposed platform, denoted as Agriware, is able to: (i) evaluate information from heterogeneous data sources, (ii) calculate agronomic indicators (e.g., Growing Degree Days, GDD), and (iii) monitor on-field parameters (e.g., water consumption). Different plant-related parameters have been collected to assess the response to water stress (e.g., Soil Plant Analysis Development (SPAD), chlorophyll content, fluorescence, and others), along with leaf color and final production evaluations. The obtained results show that the best irrigation regime, in terms of plant health and productivity, corresponds to 60% of Irriframe, allowing significant water savings for the cultivation.
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spelling CGSpace1739182025-10-26T13:01:33Z An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes Galaverni, M. Oddi, G. Preite, L. Belli, L. Davoli, L. Marchioni, I. Rodolfi, M. Solari; F. Beghe, D. Ganino, T. Vignali, G. Ferrari, G. The exploitation of modern technologies in heterogeneous farming scenarios with different crops cultivation is nowadays an effective solution to implement the concept of Smart Agriculture (SA). Following this approach, in this study the tomato plants’ response to different irrigation regimes is investigated through the implementation of an Internet of Things (IoT)-oriented SA data collection and monitoring system. In particular, the experimentation is conducted on tomatoes grown at three different irrigation regimes: namely, at 100%, 60%, and 30% of the Italian irrigation recommendation service, denoted as Irriframe. The proposed platform, denoted as Agriware, is able to: (i) evaluate information from heterogeneous data sources, (ii) calculate agronomic indicators (e.g., Growing Degree Days, GDD), and (iii) monitor on-field parameters (e.g., water consumption). Different plant-related parameters have been collected to assess the response to water stress (e.g., Soil Plant Analysis Development (SPAD), chlorophyll content, fluorescence, and others), along with leaf color and final production evaluations. The obtained results show that the best irrigation regime, in terms of plant health and productivity, corresponds to 60% of Irriframe, allowing significant water savings for the cultivation. 2025-02 2025-03-28T10:26:21Z 2025-03-28T10:26:21Z Journal Article https://hdl.handle.net/10568/173918 en Open Access Elsevier Galaverni, M.; Oddi, G.; Preite, L.; Belli, L.; Davoli, L.; Marchioni, I.; Rodolfi, M.; Solari; F.; Beghe, D.; Ganino, T.; Vignali, G.; Ferrari, G. 2025. An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes. Computers and Electronics in Agriculture, 229:109660. [doi:https://doi.org/10.1016/j.compag.2024.109660]
spellingShingle Galaverni, M.
Oddi, G.
Preite, L.
Belli, L.
Davoli, L.
Marchioni, I.
Rodolfi, M.
Solari; F.
Beghe, D.
Ganino, T.
Vignali, G.
Ferrari, G.
An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title_full An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title_fullStr An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title_full_unstemmed An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title_short An Iot-based data analysis system: a case study on tomato cultivation under different irrigation regimes
title_sort iot based data analysis system a case study on tomato cultivation under different irrigation regimes
url https://hdl.handle.net/10568/173918
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