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Found 20 dataset(s) matching "camera trap models".
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These data were formatted for fitting the random encounter model to estimate seasonal densities of coyotes (Canis latrans) and black-tailed jackrabbits (Lepus californicus) in the Mojave Desert,...
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Camera traps were deployed at 320 sites across the Mojave Desert ecoregion and 265 sites across the Great Valley ecoregion between March and July...
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<p dir="ltr">Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial...
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Summary of proposed field methods and activities: Methodology This project will engage citizen scientist to run camera traps, code images, and upload data that can be used to address our research...
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DeepFaune New England (DFNE) is a model for species classification in trail camera imagery. This model is a re-trained version of the DeepFaune model for classifying European species in trial...
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In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar,...
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AVI files documenting raccoon (Procyon lotor) foraging for apple snails (Pomacea maculata) on a water hyacinth mat at Mandalay National Wildlife Refuge. Videos were taken with various models of...
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<p dir="ltr">Lower activity threshold study</p><p dir="ltr">To evaluate the lower activity threshold, <i>E. giganteana</i> larvae were collected starting in the first week of April to May 21st,...
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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...
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<p dir="ltr">Traditional bird deterrent methods, such as scarecrows, loud noise emitters, and netting, can become less effective over time due to bird habituation. This study presents an AI-driven...
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This volume's release consists of 320104 media files captured by autonomous wildlife monitoring devices under the project, Maine Department of Inland Fisheries and Wildlife. The attached files...
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This volume's release consists of 41933 media files captured by autonomous wildlife monitoring devices under the project, Vermont Fish and Wildlife Department. The attached files listed below...
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This volume's release consists of 463615 media files captured by autonomous wildlife monitoring devices under the project, New Hampshire Fish and Game Department. The attached files listed below...
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This volume's release consists of 143321 media files captured by autonomous wildlife monitoring devices under the project, Massachusetts Wildlife Monitoring Project. The attached files listed...
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This volume's release consists of 80 media files captured by autonomous wildlife monitoring devices under the project, USDA Green Mountain National Forest. The attached files listed below include...
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This volume's release consists of 325099 media files captured by autonomous wildlife monitoring devices under the project, USDA White Mountain National Forest. The attached files listed below...
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This volume's release consists of 84049 media files captured by autonomous wildlife monitoring devices under the project, USDA Green Mountain National Forest. The attached files listed below...
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This volume's release consists of 42105 media files captured by autonomous wildlife monitoring devices under the project, Adirondack Inventory & Monitoring (AIM) Network. The attached files...
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<p dir="ltr"><b>Insects</b></p><p dir="ltr">Beetles used in this study were obtained from stock colonies maintained at the USDA Agricultural Research Service’s (ARS) Center for Grain and Animal...
