NFWF Grant Profile

Test electronic monitoring and machine-learning applications in dockside monitoring, explore uses of the data collected from electronic monitoring, and educate stakeholders about machine analysis. Project will improve efficiency of the dockside monitoring program by developing algorithms to verify fish weights and counts, facilitate the use of electronic monitoring data by two new groups, and publish a report about transitioning from human to machine analysis of data.