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Cut-and-Paste Reference:
Jeong, H.S., A.N. Schad, J.C. Cheng, G. Donohue, J.L. Hawkins, A.M. Steen, W.F. Farthing, I.A. Knight, L.L. Dodd, A.W. Katzenmeyer, V.A. Sistrunk, S.L. Hammond, B.J. Bellinger, and T.E. Rycroft. 2025. Identifying Hydrilla verticillata in real time with a machine learning–based underwater object detection program. Aquatic Conservation: Marine and Freshwater Ecosystems 35(1):e70054. https://onlinelibrary.wiley.com/doi/10.1002/aqc.70054.
Reference Details:
Reference Number: 45462
Type: Journal Article
Author: Jeong, H.S., A.N. Schad, J.C. Cheng, G. Donohue, J.L. Hawkins, A.M. Steen, W.F. Farthing, I.A. Knight, L.L. Dodd, A.W. Katzenmeyer, V.A. Sistrunk, S.L. Hammond, B.J. Bellinger, and T.E. Rycroft
Date (year): 2025
Article Title:Identifying Hydrilla verticillata in real time with a machine learning–based underwater object detection program
Journal Name: Aquatic Conservation: Marine and Freshwater Ecosystems
Volume: 35
Issue: 1
Pages: e70054
URL: https://onlinelibrary.wiley.com/doi/10.1002/aqc.70054
Keywords: Hydrilla, Hydrilla verticillata, machine learning, underwater object detection
DOI: 10.1002/aqc.70054
Species Profiles and Specimens that use this Reference:

Hydrilla verticillata lithuanica

    CT - Keeney Cove, Connecticut River, Glastonbury

Hydrilla verticillata verticillata

    TX - San Marcos River, Hays County, TX
    TX - Lake Austin
    MS - Concrete ponds at US Army Engineer Research and Development Center, Vicksburg, MS

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Citation information: U.S. Geological Survey. [2025]. Nonindigenous Aquatic Species Database. Gainesville, Florida. Accessed [6/21/2025].

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