TY - GEN
T1 - Internet of things based weather-soil sensor station for precision agriculture
AU - El-Magrous, Ahmed A.
AU - Sternhagen, Jason D.
AU - Hatfield, Gary
AU - Qiao, Qiquan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - This paper presents the design, development, and testing of a customizable and cost-effective Weather-Soil Sensor Station (W-SSS) for use in Precision Agriculture based on high accuracy sensors, wireless communication, cloud data storage, and computation technology. The W-SSSs operated from July 25, 2018, to September 15, 2018, using an off-grid power system, Arduino microcontroller, and Wi-Fi connection to the cloud. Sensor data quality was evaluated using several statistical techniques. The data obtained from the weather-soil stations illustrate the differences in weather and soil conditions both relative to the local weather station as well as those within a field. Knowledge of these differences would allow a farmer to vary planting densities relative to soil conditions, irrigation control, as well as pest/herbicide management.
AB - This paper presents the design, development, and testing of a customizable and cost-effective Weather-Soil Sensor Station (W-SSS) for use in Precision Agriculture based on high accuracy sensors, wireless communication, cloud data storage, and computation technology. The W-SSSs operated from July 25, 2018, to September 15, 2018, using an off-grid power system, Arduino microcontroller, and Wi-Fi connection to the cloud. Sensor data quality was evaluated using several statistical techniques. The data obtained from the weather-soil stations illustrate the differences in weather and soil conditions both relative to the local weather station as well as those within a field. Knowledge of these differences would allow a farmer to vary planting densities relative to soil conditions, irrigation control, as well as pest/herbicide management.
KW - Internet of Things
KW - Sensor-Node
KW - Super-Node
UR - http://www.scopus.com/inward/record.url?scp=85072839755&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072839755&partnerID=8YFLogxK
U2 - 10.1109/EIT.2019.8833811
DO - 10.1109/EIT.2019.8833811
M3 - Conference contribution
AN - SCOPUS:85072839755
T3 - IEEE International Conference on Electro Information Technology
SP - 92
EP - 97
BT - 2019 IEEE International Conference on Electro Information Technology, EIT 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Electro Information Technology, EIT 2019
Y2 - 20 May 2019 through 22 May 2019
ER -