Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV
Written by Georgian ROTARU, Gabriel PREDUȘCĂ, Liana Denisa CÎRCIUMĂRESCU, Emil DIACONU
This study presents a predictive data acquisition system that integrates the Arduino Leonardo development platform with the Python programming language for automated environmental monitoring. The system employs a suite of sensors - DHT22 for temperature and humidity, BMP180 for atmospheric pressure, and MQ-7 for gas concentration - to collect real-time data. These measurements are transmitted to a Python-based processing environment, where time-series forecasting algorithms, including ARIMA, are applied to analyze trends and predict environmental variations. The system offers a cost-effective and adaptable solution for air quality assessment, meteorological research, and environmental data analysis, facilitating timely interventions and enhanced resource management.
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{simplepopup popup="false" name="Citation127"}ROTARU G., PREDUSCA G., CIRCIUMARESCU L.D., DIACONU E. 2025, AN ARDUINO-PYTHON INTEGRATED PREDICTIVE DATA ACQUISITION SYSTEM FOR ENVIRONMENTAL MONITORING. Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV, Print ISSN 2285-6064, 1168-1178. {/simplepopup}