Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research

Bryan C. Runck; Bobby Schulz; Jeff Bishop; Nathan Carlson; Bryan Chantigian; Gary Deters; Jesse Erdmann; Patrick M. Ewing; Michael Felzan; Xiao Fu; Jan Greyling; Christopher J. Hogan; Andrew Hollman; Ali Joglekar; Kris Junker; Michael Kantar; Lumbani Kaunda; Mohana Krishna; Benjamin Lynch; Peter Marchetto; Megan Marsolek; Troy McKay; Brad Morris; Ali Rashid Niaghi; Keerthi Pamulaparthy; Philip Pardey; Ann Piotrowski; Christina Poudyal; Tom Prather; Barath Raghavan; Maggie Reiter; Lucas Rosen; Benjamin Salazar; Andrew Scobbie; Vasudha Sharma; Kevin A. T. Silverstein; Gurparteet Singh; Jeff Strock; Samikshya Subedi; Evan Tang; Gianna Turturillo; Eric Watkins; Blake Webster; James Wilgenbusch

arXiv · 2403.19477

Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research

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Abstract

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, we 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 or planned deployment across 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.

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Bryan C. Runck, Bobby Schulz, Jeff Bishop, Nathan Carlson, Bryan Chantigian, Gary Deters, Jesse Erdmann, Patrick M. Ewing, Michael Felzan, Xiao Fu, Jan Greyling, Christopher J. Hogan, Andrew Hollman, Ali Joglekar, Kris Junker, Michael Kantar, Lumbani Kaunda, Mohana Krishna, Benjamin Lynch, Peter Marchetto, Megan Marsolek, Troy McKay, Brad Morris, Ali Rashid Niaghi, Keerthi Pamulaparthy, Philip Pardey, Ann Piotrowski, Christina Poudyal, Tom Prather, Barath Raghavan, Maggie Reiter, Lucas Rosen, Benjamin Salazar, Andrew Scobbie, Vasudha Sharma, Kevin A. T. Silverstein, Gurparteet Singh, Jeff Strock, Samikshya Subedi, Evan Tang, Gianna Turturillo, Eric Watkins, Blake Webster, James Wilgenbusch. 2024-03-28. Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research. https://arxiv.org/abs/2403.19477

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