Two researchers examine a small underwater vehicle with a University of Minnesota logo sticker.

Automating and Informing Local Water Resource Management

Completed

Challenge

Climate-related changes, pollutants, invasive species and pathogens threaten many Minnesotan water systems. There is a need for judicious and efficient management to ensure environmental health and human well-being.

Impact Goal

Introduce a novel approach to automate and support local aquatic natural resource management through robotics and assess the public acceptance of this type of automation. This will support increased awareness among managers regarding the use of robotics in water quality monitoring and increase the capacity of managers to use data collected from robots in making management decisions.

Partner Organization(s)

Project Leads

Amy Kinsley Headshot
Department of Veterinary Population Medicine
Junaed Sattar Headshot
Department of Computer Science & Engineering
Ingrid Schneider Headshot
Department of Forest Resources

Advancing Local Water Management Solutions

Water is the most vital of natural resources, critical for the survival of all living organisms. High-quality aquatic natural resources support economic prosperity, human health and infrastructure for water supply. However, climate-related changes, pollutants, invasive species and pathogens threaten many water systems that keep humans and ecosystems thriving. 

 

Effective water management is critical to face current and future demand challenges. In Minnesota, local government units are crucial in protecting and managing aquatic natural resources. However, limited funding and personnel challenge local management and monitoring of water resources.

 

Capitalizing on the University of Minnesota’s unique personnel, robotic resources and community partnership with the National Park Service, this multidisciplinary team developed and tested efficient and accurate ways to monitor and support local aquatic natural resources.

Outcomes

  • Assessed managerial knowledge, attitudes and beliefs surrounding the adoption of robots in local aquatic resource management activities
  • Created an artificially intelligent robotic mechanism to measure the physical, chemical and biological indicators related to aquatic resource management goals as a prototype
  • Developed an online dashboard that allows end-users to visualize measurements guided by local needs

See their research featured in a KARE11 video.

Meet the Project Team

Project Leads

Amy Kinsley Headshot

Amy Kinsley

Associate Since 2022
Department of Veterinary Population Medicine
College of Veterinary Medicine
Junaed Sattar Headshot

Junaed Sattar

Department of Computer Science & Engineering
College of Science and Engineering
Ingrid Schneider Headshot

Ingrid E. Schneider

Department of Forest Resources
College of Food, Agricultural and Natural Resource Sciences

Additional Team Members

Alan Robbins-Fenger
National Park Service (retired)
Allison Holdhusen
National Park Service

Project Status

Last Updated

Aug 05, 2026

Impact Location

Minnesota

Start Date

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