TY - GEN
T1 - A smart-and-connected low-cost sensor system for measuring air and soil properties in the Central U.S.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
AU - Ru, Zeyuan
AU - Wang, Jun
AU - Kuhl, Spencer
AU - Garcia, Lorena Castro
AU - Qiao, Xin
AU - Reed, Daniel
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This article describes the design and development of a smart-and-connected low-cost Iowan-designed canopy (I-Canopy) sensor system that is enabled by the Internet of Things (IoT) devices capabilities, empowered by solar-based rechargeable batteries, and developed for community science applications. The I-Canopy sensor, is designed for real-time monitoring of near-surface air properties (temperature, relative humidity, pressure) and soil properties (temperature and moisture) for a wide range of weather and canopy conditions. The sensor is well suited for rural areas where the real-time data of air and soil is lacking in part due to the lack of broadband internet connection, and in part due to the limited (if any) ground-based weather stations in the current federal and state observation network. The canopy sensor has been tested in rural communities in western Nebraska to provide information for farmer's decision-making of irrigation and agricultural water use in the crop growing season. The sensor is capable to transmit data through both WiFi and LoRaWAN in real-time to a cloud data server and the local data server. Presented here are the first results of the sensor design and sensor data evaluation in various out-door environments, which illustrates the high-level readiness of the sensor for large-scale deployment for either routine or scientific applications for rural areas.
AB - This article describes the design and development of a smart-and-connected low-cost Iowan-designed canopy (I-Canopy) sensor system that is enabled by the Internet of Things (IoT) devices capabilities, empowered by solar-based rechargeable batteries, and developed for community science applications. The I-Canopy sensor, is designed for real-time monitoring of near-surface air properties (temperature, relative humidity, pressure) and soil properties (temperature and moisture) for a wide range of weather and canopy conditions. The sensor is well suited for rural areas where the real-time data of air and soil is lacking in part due to the lack of broadband internet connection, and in part due to the limited (if any) ground-based weather stations in the current federal and state observation network. The canopy sensor has been tested in rural communities in western Nebraska to provide information for farmer's decision-making of irrigation and agricultural water use in the crop growing season. The sensor is capable to transmit data through both WiFi and LoRaWAN in real-time to a cloud data server and the local data server. Presented here are the first results of the sensor design and sensor data evaluation in various out-door environments, which illustrates the high-level readiness of the sensor for large-scale deployment for either routine or scientific applications for rural areas.
KW - Citizen Science
KW - Earth and atmospheric science
KW - IoT
KW - sensor network
UR - http://www.scopus.com/inward/record.url?scp=85141895331&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141895331&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9884823
DO - 10.1109/IGARSS46834.2022.9884823
M3 - Conference contribution
AN - SCOPUS:85141895331
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5720
EP - 5723
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 July 2022 through 22 July 2022
ER -