Conference proceeding
Improvements of an Smart-and-Connected Low-Cost Sensor System for Measuring Canopy Properties in the Central U.S
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp.4836-4839
07/16/2023
DOI: 10.1109/IGARSS52108.2023.10282656
Abstract
This article describes the most recent updates on a smart-and-connected low-cost sensor system called I-Canopy Sensor that measures near-surface air(temperature, humidity, and pressure) and soil properties(temperature and moisture) in order to provide necessary data for irrigation systems. Designed and manufactured in Iowa, I-Canopy Sensor is a real-time solar-powered IoT device that can be used in urban or rural areas under a variety of conditions. I-Canopy supports both Wi-Fi and LoRa-WAN for short-distance and long-distance transmission. The updates improve the sensor performance by adding voltage control functions, Internet connection logic optimization, rechargeable NiMH battery research, and temporary data storage function. These improvements enable the sensor with an ability to run under extreme circumstances including but not limited to below-zero freezing weather, interruption of Wi-Fi and LoRa Wan signal, and poor battery energy capacity. I-Canopy sensor has been tested in farms in Nebraska and Iowa and urban areas in Iowa, Illinois, and New York. With the latest update, the frequency of unexpected shutdowns is greatly diminished. In the firmware part, this article will expand on the cause of different kinds of shutdowns and practical solutions implemented to mitigate the problems.
Details
- Title: Subtitle
- Improvements of an Smart-and-Connected Low-Cost Sensor System for Measuring Canopy Properties in the Central U.S
- Creators
- Sheng Wang - University of IowaJun Wang - University of IowaLorena Castro Garcia - University of IowaSpencer Kuhl - University of IowaXin Qiao - University of Nebraska–LincolnTommy Rose - University of Nebraska–LincolnCheryl Reuben - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp.4836-4839
- Publisher
- IEEE
- DOI
- 10.1109/IGARSS52108.2023.10282656
- eISSN
- 2153-7003
- Grant note
- National Institute of Food and Agriculture (10.13039/100005825)
- Language
- English
- Date published
- 07/16/2023
- Academic Unit
- Physics and Astronomy; Civil and Environmental Engineering; Electrical and Computer Engineering; Chemical and Biochemical Engineering; Iowa Technology Institute
- Record Identifier
- 9984500076002771
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