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Other literature type . 2022
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Smart Box IoT

Authors: Calisti, Lorenzo; Lattanzi, Emanuele;
Abstract

Negli ultimi anni il tema del cambiamento climatico e delle sue conseguenze è sempre più presente nelle menti della popolazione; secondo gli esperti è fondamentale che tutti i settori produttivi si impegnino sin da subito ad utilizzare energie rinnovabili e a creare nuovi metodi produttivi in modo da ridurre le emissioni. Per fare questo si prevede un ampio utilizzo della tecnologia, in particolare dell’Internet of Things. Il campo dell’agricoltura è uno dei settori pionieri da questo punto di vista; è ormai da diverso tempo che la tecnologia è utilizzata come supporto alla produzione, il principale problema è il suo elevato costo che la rende accessibile solo ad aziende di grandi dimensioni. In questo articolo si propone la creazione di una Smart Box IoT la cui finalità principale è la raccolta di dati sulla qualità dell’ambiente circostante e il rilevamento di eventauali dati anomali tramite un modello di Machine Learning.

Related Organizations
Keywords

Machine Learning, ESP8266, Internet of Things, Arduino, Anomaly Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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