Giulia Oddi

@inproceedings{odbedagamarobesovigafe:2024:case,

title = {Optimizing Tomato Production through IoT-based Smart Data Collection and Analysis},

author = {Giulia Oddi and Laura Belli and Luca Davoli and Martina Galaverni and Ilaria Marchioni and Margherita Rodolfi and Deborah Beghé and Federico Solari and Giuseppe Vignali and Tommaso Ganino and Gianluigi Ferrari},

doi = {10.1109/CASE59546.2024.10711738},

year  = {2024},

date = {2024-10-23},

urldate = {2024-01-01},

booktitle = {2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)},

pages = {45-50},

address = {Bari, Italy},

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 Äzienda 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).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}