In the last years, dairy production is changing fast towards smart livestock systems, driven by the rapid pace of technological advancements as Internet of Things, big data, machine learning, augmented reality and robotics. These technologies are pushing widespread collection, implementation, transmission and use of digitized information in livestock farms. Currently, this an uncontrolled process that poses questions on sustainability of the virtual environment where such processes take place. The aim of the present paper is to introduce a preliminary digitization footprint approach, which parameterizes the amount of digital information so as to quantify these data in terms of volumes invested for data storage, processing or transfer.

Digital Technologies and Automation in Livestock Production Systems: a Digital Footprint from Multisource Data

Andrea Pezzuolo;Giorgio Marchesini;Marta Brscic;Stefano Guercini;Francesco Marinello
2021

Abstract

In the last years, dairy production is changing fast towards smart livestock systems, driven by the rapid pace of technological advancements as Internet of Things, big data, machine learning, augmented reality and robotics. These technologies are pushing widespread collection, implementation, transmission and use of digitized information in livestock farms. Currently, this an uncontrolled process that poses questions on sustainability of the virtual environment where such processes take place. The aim of the present paper is to introduce a preliminary digitization footprint approach, which parameterizes the amount of digital information so as to quantify these data in terms of volumes invested for data storage, processing or transfer.
2021
2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings
2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021
978-166540533-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3405561
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