Resumen
The intensive agricultural fertilization used for large scale food production generates an increase in the concentration of nitrates in water systems, contamination of water for human consumption and eutrophication of surface waters. Therefore, nitrates monitoring is a must practice in a basin receiving high agricultural activity. Discrete and sporadic samples analysis might reveal spatial differences in concentration, but continuous samples analysis gives the information about the origin, hydrological dynamics, transport and the bioprocessing of the nitrates. Here we present a design of an autonomous system for nitrates remote monitoring that uses an adjustable but continuous sampling flow, UV spectroscopy and Internet of Things (IoT) to directly perform and control the system calibration and nitrates quantification and, a strategy to optimize data generation and the monitoring resolution: a conductivity sensor used as a sampling frequency trigger.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020 |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (versión digital) | 9781728134277 |
| DOI | |
| Estado | Publicada - feb 2020 |
| Evento | 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 - San Jose, Costa Rica Duración: 25 feb 2020 → 28 feb 2020 |
Serie de la publicación
| Nombre | 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020 |
|---|
Conferencia
| Conferencia | 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 |
|---|---|
| País/Territorio | Costa Rica |
| Ciudad | San Jose |
| Período | 25/02/20 → 28/02/20 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 2: Hambre cero
Huella
Profundice en los temas de investigación de 'IoT Application for Water Quality Monitoring: Nitrates'. En conjunto forman una huella única.Citar esto
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