Environmental monitoring is essential to intervene promptly in environmental disasters or emergencies. Therefore, in the environmental field, as in other fields, it is essential to create reports quickly. In this article, we describe a possible system that uses Artificial Intelligence (AI) to automatically create environmental reports, always considering the supervision of the environmental expert. The system involves two phases, one for testing and the other for production. During the testing phase, the AI ​​system is calibrated on a subset of the available data, while during the production phase, the AI ​​system is fully operational and works on all the available data. We describe a practical case study using the temperature data provided by ARPA Lazio.

Towards AI-Based Data Analytics for Environmental Monitoring

Angelica Lo Duca
Co-primo
;
2024

Abstract

Environmental monitoring is essential to intervene promptly in environmental disasters or emergencies. Therefore, in the environmental field, as in other fields, it is essential to create reports quickly. In this article, we describe a possible system that uses Artificial Intelligence (AI) to automatically create environmental reports, always considering the supervision of the environmental expert. The system involves two phases, one for testing and the other for production. During the testing phase, the AI ​​system is calibrated on a subset of the available data, while during the production phase, the AI ​​system is fully operational and works on all the available data. We describe a practical case study using the temperature data provided by ARPA Lazio.
2024
Istituto di informatica e telematica - IIT
Environmental Monitoring
Artificial Intelligence
Data Analytics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/515725
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