Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals.

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Bibliographic Details
Title: Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals.
Authors: Parsons IL; Quantitative Ecology and Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Starkville, MS 39762, USA.; West River Research and Extension Center, Department of Animal Science, South Dakota State University, Rapid City, SD 57703, USA., Karisch BB; Department of Animal and Dairy Sciences, Mississippi State University, Starkville, MS 39762, USA., Stone AE; Department of Animal and Dairy Sciences, Mississippi State University, Starkville, MS 39762, USA., Webb SL; Texas A&M Natural Resources Institute and Department of Rangeland, Wildlife, and Fisheries Management, Texas A&M University, College Station, TX 77843, USA., Norman DA; Quantitative Ecology and Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Starkville, MS 39762, USA., Street GM; Quantitative Ecology and Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, Starkville, MS 39762, USA.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 16; Vol. 24 (10). Date of Electronic Publication: 2024 May 16.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1424-8220
DOI:10.3390/s24103171