Full TGIF Record # 333389
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Web URL(s):https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150316
    Last checked: 11/30/2023
Publication Type:
Content Type:Abstract or Summary only
Author(s):Runck, Bryan
Author Affiliation:Geography, Environment and Society, University of Minnesota-Twin Cities, Minneapolis, Minnesota
Title:Support transcontinental physiology and breeding research with spatial internet of things systems
Section:Symposium--Leveraging new technologies to improve turfgrass research
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C05 turfgrass science
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Meeting Info.:St. Louis, Missouri: October 29-November 1, 2023
Source:ASA, CSSA, SSSA International Annual Meeting. 2023, p. 150316.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Abstract/Contents:"With the increasing emphasis on machine learning and artificial intelligence to drive knowledge discovery in the agricultural sciences, spatial internet of things (IoT) technologies have become increasingly important for collecting real-time, high resolution data for these models. However, managing large fleets of devices while maintaining high data quality remains an ongoing challenge as scientists iterate from prototype to mature end-to-end applications. Here, I provide a set of case studies using the framework of technology readiness levels for an open source spatial IoT system. The spatial IoT systems underwent 3 major and 14 minor system versions, had over 2,727 devices manufactured both in academic and commercial contexts, and are either in active deployment or planned deployment acrossin four continents. Our results show the evolution of a generalizable, open source spatial IoT system designed for agricultural scientists, and provide a model for academic researchers to overcome the challenges that exist in going from one-off prototypes to thousands of internet-connected devices."
This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Runck, B. 2023. Support transcontinental physiology and breeding research with spatial internet of things systems. Agron. Abr. p. 150316.
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    Last checked: 11/30/2023
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