TY - GEN
T1 - IoT Application for Water Quality Monitoring
T2 - 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020
AU - Hernandez-Alpizar, Laura
AU - Carrasquilla-Batista, Arys
AU - Sancho-Chavarria, Lilliana
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Frequency triggers
KW - Internet of Things
KW - nitrates continuous monitoring.
UR - http://www.scopus.com/inward/record.url?scp=85084287118&partnerID=8YFLogxK
U2 - 10.1109/LASCAS45839.2020.9069039
DO - 10.1109/LASCAS45839.2020.9069039
M3 - Contribución a la conferencia
AN - SCOPUS:85084287118
T3 - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
BT - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 February 2020 through 28 February 2020
ER -