The always-growing diffusion and adoption of Internet of Things (IoT) technologies is revolutionizing heterogeneous scenarios (e.g., home, industry, safety, etc.), including the agricultural/farming: this paves the way to the Smart Agriculture (SA) paradigm. In detail, this approach leverages the exploitation of IoT smart objects (e.g., sensors, actuators, ground robots, and flying drones) to optimize and improve agricultural practices, eventually improving both sustainability and efficiency. This paper presents an IoT-based data collection and analysis architecture expedient to acquire and manage IoT data streams generated from the field. The proposed approach has been applied to a real experimental use case to optimize tomato production in the "Azienda Sperimentale Stuard" farm located in Parma, Italy. The obtained results highlight the feasibility, sustainability, and gain margins (i.e., in terms of cost/benefits) returned by such a deployment in a real scenario, enabling farmers to make informed decisions based on on-field data acquisition (e.g., reducing water consumption during the growing season).
Optimizing Tomato Production through IoT-based Smart Data Collection and Analysis / Oddi, Giulia; Belli, Laura; Davoli, Luca; Galaverni, Martina; Marchioni, Ilaria; Rodolfi, Margherita; Beghe', Deborah; Solari, Federico; Vignali, Giuseppe; Ganino, Tommaso; Ferrari, Gianluigi. - (2024), pp. 45-50. (Intervento presentato al convegno 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)) [10.1109/case59546.2024.10711738].
Optimizing Tomato Production through IoT-based Smart Data Collection and Analysis
Oddi, Giulia;Belli, Laura;Davoli, Luca;Galaverni, Martina;Marchioni, Ilaria;Rodolfi, Margherita;Beghe', Deborah;Solari, Federico;Vignali, Giuseppe;Ganino, Tommaso;Ferrari, Gianluigi
2024-01-01
Abstract
The always-growing diffusion and adoption of Internet of Things (IoT) technologies is revolutionizing heterogeneous scenarios (e.g., home, industry, safety, etc.), including the agricultural/farming: this paves the way to the Smart Agriculture (SA) paradigm. In detail, this approach leverages the exploitation of IoT smart objects (e.g., sensors, actuators, ground robots, and flying drones) to optimize and improve agricultural practices, eventually improving both sustainability and efficiency. This paper presents an IoT-based data collection and analysis architecture expedient to acquire and manage IoT data streams generated from the field. The proposed approach has been applied to a real experimental use case to optimize tomato production in the "Azienda Sperimentale Stuard" farm located in Parma, Italy. The obtained results highlight the feasibility, sustainability, and gain margins (i.e., in terms of cost/benefits) returned by such a deployment in a real scenario, enabling farmers to make informed decisions based on on-field data acquisition (e.g., reducing water consumption during the growing season).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.