Portland, Oregon
June 23, 2024
June 23, 2024
June 26, 2024
Computing and Information Technology Division (CIT) Technical Session 4
Computing and Information Technology Division (CIT)
11
10.18260/1-2--47754
https://peer.asee.org/47754
107
Dr. Ciprian Popoviciu has over 26 years of experience working in various technical and leadership roles in the IT industry. He founded and led Nephos6, the first company to enable OpenStack for IPv6 and deploy it in production. Prior to starting Nephos6 he worked for CIsco and he is an industry recognized IPv6 subject matter expert. Currently he is an assistant professor in the college of engineering at East Carolina University and his research is focused on IoT and cybersecurity.
Eastern North Carolina farmlands are often below the standing water level, requiring constant drainage to avoid flooding. Irrigation canals collect water from multiple farms, and they must be emptied regularly to avoid crop losses and damage to houses and equipment. Maintaining a low water level in these canals is a critical component of the daily tasks farmers must manage. In most cases, this process requires a visit to the location of the pumps and turning them on for a given amount of time, a manual, time-consuming activity. In this paper we discuss the development of an automated solution using ultrasound sensors to measure surface water levels networked over LoRaWAN with actuators that can remotely turn the pump on and off. Machine Learning based automation algorithms provide workflow optimization and necessary redundancy is built in. The solution can be customized to the specific performance characteristics of the pump being utilized. Farmers are provided with water level visualization tools accessible on mobile devices as well as automatic, intelligent notifications to help address failures and unusual circumstances. Future expansion options for this solution, such as integration of weather forecast and live weather data, are discussed.
Exum, C. R., & Popoviciu, C., & Sawyer, C. L. (2024, June), LoRaWAN Solution for Automated Water Drainage of Agricultural Fields Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47754
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2024 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015