Cooperative Fish and Wildlife Research Units Program:
Education, Research and Technical Assistance for Managing Our Natural Resources

Staff Member

Reid A Viegut

Master's
Email: rav3pt@missouri.edu

Research Publications Publication Date
Zhang, Y., Y. Feng, S. Wang, Z. Tang, Z. Zhai, R. Viegut, E. Webb, A. Raedeke and Y. Shang. Deep Learning Models for Waterfowl Detection and Classification in Aerial Images. Information | Abstract March 2024
Viegut, R.A., E.B. Webb, A.H. Raedeke, Z. Tang, Y.Zhang and Y. Shang. Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri. Journal of the Southeastern Association of Fish and Wildlife Agencies | Abstract June 2024
Viegut, R.A., E.B. Webb, A.H. Raedeke, Z. Tang, Y. Zhang, Z. Zhai, Z Liu, S. Wang J. Zheng and Y. Shang. Detection probability and bias in machine-learning-based unoccupied aerial system non-breeding waterfowl surveys. Drones | Abstract February 2024
Tang, Z., Y. Zhang, Y. Wang, Y. Shang, R. Viegut, E. Webb, A. Raedeke and J. Sartwell. Drones and Machine Learning Integration in Waterfowl Population Surveys. Proceedings of the IEEE International Conference on Tools With Artificial Intelligence | Abstract December 2021
Presentations Presentation Date
Zhang, Y., Zhai, Z., Wang, S., Liu, Z., Tang, Z., Viegut, R., Raedeke, A., Webb, E., and Shang, Y. 2023. Unoccupied Aerial Systems and Deep Learning Models for Monitoring Wetland Conditions on Wetland Reserve Easements in Missouri. Oral presentation at the 2023 Missouri GIS Conference. April 2023
Viegut. R.A.,<b> </b>L. Webb, A. Raedeke, Z. Tang, Yang Zhang, Yi Shang, Joel Sartwell. Detection Probability and Bias in Machine Learning-Based Winter Waterfowl Population Estimates from Uncrewed Aerial Systems. Oral presentation at annual conference of The Lower Mississippi Valley Joint Venture Waterfowl Symposium. October 2022
Viegut. R.A.,<b> </b>L. Webb, A. Raedeke, Z. Tang, Yang Zhang, Yi Shang, Joel Sartwell. Behavioral Responses of Waterfowl to Manned and Unmanned Aerial Systems for Conducting Winter Surveys on Conservation Areas in Missouri. Oral presentation at 29th annual conference of The Wildlife Society November 2022
Viegut. R.A.,<b> </b>L. Webb, A. Raedeke, Z. Tang, Yang Zhang, Yi Shang, Joel Sartwell. Assessing Use of Unmanned Aerial Systems and Artificial Intelligence for Monitoring Non-Breeding Waterfowl Abundance in Missouri. Poster presentation at 28th annual conference of The Wildlife Society November 2021
Viegut. R.A.,<b> </b>L. Webb, A. Raedeke, Z. Tang, Y. Zhang, Y. Shang, J. Sartwell. Incorporating Detection Probability and Bias into Uncrewed Aerial System Machine Learning-Based Winter Waterfowl Population Surveys. Oral presentation at the 2023 Midwest Fish and Wildlife Conference. February 2023
Viegut, R.A.,<b> </b>L. Webb, Z. Tang, Yang Zhang, A. Raedeke, J. Sartwell, Yi Shang. Drones and Ducks: Integration of Unmanned Aerial Systems and Artificial Intelligence for Monitoring Waterfowl Abundance on Conservation Areas in Missouri. Poster presentation at 29th Annual OFWIM Conference. October 2021
Viegut, R., Webb, E., Raedeke, A., Zhang, Y.,Tang, Z., Zhai, Z., Wang, S., Liu, Z., and Shang, Y. 2023. Counting Ducks from Drones: An Integrated System of Unoccupied Aerial Systems and Artificial Intelligence for Estimating Populations of Non-Breeding Waterfowl Abundance. Oral presentation at the Southeastern Association of Fish and Wildlife Agencies, Corpus Christi Texas. October 2023
Viegut, R., Webb, E., Raedeke, A., Zhang, Y.,Tang, Z., Zhai, Z., Wang, S., Liu, Z., and Shang, Y. 2023. An Integrated System of Drones and Artificial Intelligence for Estimating Non-Breeding Waterfowl Abundance. Oral presentation at the North American Duck Symposium, Portland Oregon. February 2024