Andrew Balmos
Agricultural and Biological Sciences · Purdue University West Lafayette
Publications
39
Citations
68
Est. group size
~2
Recurring co-author estimate
Active years
15
Publishing since 2012
Andrew Balmos works on digital and computing tools for agriculture, including edge computing systems, open-source data infrastructure, and sensor networks that help farm machinery and connected vehicles collect and process data in real time. Recent work also extends into transportation sensing, such as pavement sensors and connected/autonomous vehicle (CAV) data collection, and IoT communication methods like backscatter (low-power wireless signaling) between aboveground and underground devices. This research is generally aimed at making agricultural and transportation systems more data-driven and interoperable using open-source and AI-assisted tools.
Publication output has been uneven over the past decade, with active bursts in 2017-2018 and again in 2024-2025, but very low or no output in the intervening years (2019-2020).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- MetaAg 2.0: AI-Infused Agricultural Metadata Recording
Journal of the ASABE · 2026
- Enhancing Pavement Sensor Data Acquisition for AI-Driven Transportation Research
arXiv (Cornell University) · 2025
- Meta Ag 2.0: A Framework for AI-Infused Contextual Agricultural Recordkeeping
2025
- Leveraging Aboveground to Underground Backscatter IoT Communication via Event-based Data Streams
2025
- Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation
2024
- Avena: An Event-Driven Software Framework for Informed Decisions and Actions in Cropping Systems
2024
- Economical Acquisition of Intersection Data to Facilitate CAV Operations
2023
- ISOBlue Avena: A Framework for Agricultural Edge Computing and Data Sovereignty
IEEE Micro · 2022
- Real-time on-farm yield trials powered by open-source: connecting ISOBlue, OADA, and the Trials Tracker App
2018 Detroit, Michigan July 29 - August 1, 2018 · 2018
- <i>An Optimized Adaptive Kalman Filtering Algorithm for Agricultural GPS Data Processing</i>
2018 Detroit, Michigan July 29 - August 1, 2018 · 2018
- <i>An Open-Source Infrastructure for Real-Time Automatic Agricultural Machine Data Processing</i>
2017 Spokane, Washington July 16 - July 19, 2017 · 2017
- CANdroid: Freeing ISOBUS Data and Enabling Machine Data Analytics
2016
- Investigation of Bluetooth Communications for Low-Power Embedded Sensor Networks in Agriculture
Transactions of the ASABE · 2016
- J1939 Java Native Interface
Zenodo (CERN European Organization for Nuclear Research) · 2016
- J1939 Java Native Interface Library
Zenodo (CERN European Organization for Nuclear Research) · 2016
- 2018 Detroit, Michigan July 29 - August 1, 2018×3
- Zenodo (CERN European Organization for Nuclear Research)×3
- Purdue e-Pubs (Purdue University)×3
- 2017 Spokane, Washington July 16 - July 19, 2017×2
- IEEE Micro×1
- John T. Evans
Agricultural and Biological Sciences · Purdue University West Lafayette
- Changye Yang
Agricultural and Biological Sciences · Purdue University West Lafayette
- Amogh Joshi
Agricultural and Biological Sciences · Purdue University West Lafayette
- Aaron Ault
Agricultural and Biological Sciences · Purdue University West Lafayette
- Bruce Erickson
Agricultural and Biological Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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