Filters: Tags: {"scheme":"ISO 19115 Topic Category"} (X) > partyWithName: Therese M Donovan (X)
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Remote cameras (“trail cameras”) are a popular tool for non-invasive, continuous wildlife monitoring, and as they become more prevalent in wildlife research, machine learning (ML) is increasingly used to automate or accelerate the labor-intensive process of labelling (i.e., tagging) photos. Human-machine hybrid tagging approaches have been shown to greatly increase tagging efficiency (i.e., time to tag a single image). However, those potential increases hinge on the extent to which an ML model makes correct vs. incorrect predictions. We performed an experiment using a ML model that produces bounding boxes around animals, people, and vehicles in remote camera imagery (MegaDetector), to consider the impact of a ML...
Categories: Data;
Tags: Ecology,
Information Sciences,
Maine,
USGS Science Data Catalog (SDC),
Vermont,
Hair samples were collected in discrete areas during radio-collar studies in Vermont under the auspices of University of Vermont IACUC protocol #17-035 (n=106), New Hampshire (n=34), and Maine (n=57). Hair and tissue samples were opportunistically collected from animals that were harvested, died in vehicle collisions, or translocated throughout Vermont (n = 105), Quebec (n = 198), Massachusetts (n = 5), and New York (n = 24). Of the 317 previously identified autosomal moose SNPs, 136 loci were utilized to develop a MALDI-TOF MS genotyping assay. After filtering problematic loci and individuals, genotypes from 112 of 136 SNPs (82%) were obtained for 507 individuals and all loci met Hardy-Weinberg expectations in...
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