The fish species of Grass Carp (Ctenopharyngodon idella), Silver Carp (Hypophthalmichthys molitrix), and Bighead Carp (H. nobilis) are categorized as invasive carp in North America. There is interest from a natural resource management perspective to monitor the populations and spread of the fish species. A common monitoring practice is to collect and genetically identify fish eggs, but this process is both costly in money and time. Camacho et al. (2019) demonstrated the use of machine learning as a possibility for a more efficient method of identifying invasive carp.
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