TY - GEN
T1 - Smart Metering Architecture for Agriculture Applications
AU - Olivares-Rojas, Juan C.
AU - Gutiérrez Gnecchi , Jose A.
AU - Yang, Wuqiang
AU - Reyes-Archundia, Enrique
AU - Tellez-Anguiano, Adriana Del Carmen
PY - 2022/3/31
Y1 - 2022/3/31
N2 - The development of technology has made agriculture more and more efficient, being more productive with less resources consumed, such as water and fertilizers. Our objective is to develop more efficient measurement systems for agricultural applications, e.g. to be more intelligent measurement and data processing and to make forecasts, helping decision-making. In this work, an architecture based on distributed edge-fog-cloud computing is presented. Through low power consumption and wide-area communications, this architecture can be used for measurement of climate, energy, and soil variables to achieve more productive crops.
AB - The development of technology has made agriculture more and more efficient, being more productive with less resources consumed, such as water and fertilizers. Our objective is to develop more efficient measurement systems for agricultural applications, e.g. to be more intelligent measurement and data processing and to make forecasts, helping decision-making. In this work, an architecture based on distributed edge-fog-cloud computing is presented. Through low power consumption and wide-area communications, this architecture can be used for measurement of climate, energy, and soil variables to achieve more productive crops.
U2 - 10.1007/978-3-030-99619-2_39
DO - 10.1007/978-3-030-99619-2_39
M3 - Conference contribution
SN - 9783030996185
VL - 3
T3 - Lecture Notes in Networks and Systems
SP - 411
EP - 419
BT - Advanced Information Networking and Applications
A2 - Barolli, Leonard
A2 - Hussain, Farookh
A2 - Enokido, Tomoya
PB - Springer Cham
CY - Cham
T2 - 36th International Conference on Advanced Information Networking and Applications
Y2 - 13 April 2022 through 15 April 2022
ER -