Nothing Special   »   [go: up one dir, main page]

Morgan et al., 2021 - Google Patents

The application of NIRS to determine animal physiological traits for wildlife management and conservation

Morgan et al., 2021

View HTML
Document ID
4386671047947560138
Author
Morgan L
Marsh K
Tolleson D
Youngentob K
Publication year
Publication venue
Remote Sensing

External Links

Snippet

Background: Open Access Technical Note The Application of NIRS to Determine Animal Physiological Traits for Wildlife Management and Conservation by Laura R. Morgan 1, Karen J. Marsh 1, Douglas R. Tolleson 2 and Kara N. Youngentob 3,* 1 Research School of …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/36Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor

Similar Documents

Publication Publication Date Title
Zaninelli et al. First evaluation of infrared thermography as a tool for the monitoring of udder health status in farms of dairy cows
Medeiros et al. Machine learning for seed quality classification: An advanced approach using merger data from FT-NIR spectroscopy and X-ray imaging
Harper et al. The role iNDF in the regulation of feed intake and the importance of its assessment in subtropical ruminant systems (the role of iNDF in the regulation of forage intake)
Hogeveen et al. Sensors and clinical mastitis—The quest for the perfect alert
Fitria et al. Environmental and occupational risk factors associated with chronic kidney disease of unknown etiology in West Javanese rice farmers, Indonesia
van Eerdenburg et al. The relation between hair-cortisol concentration and various welfare assessments of Dutch dairy farms
Smith et al. Field spectroscopy to determine nutritive value parameters of individual ryegrass plants
Kamalanathan et al. Genetic analysis of methane emission traits in Holstein dairy cattle
Morgan et al. The application of NIRS to determine animal physiological traits for wildlife management and conservation
Gao et al. Estimation of alpine grassland forage nitrogen coupled with hyperspectral characteristics during different growth periods on the Tibetan Plateau
Parrini et al. Can grassland chemical quality be quantified using transform near-infrared spectroscopy?
Kubinyi et al. A preliminary study toward a rapid assessment of age-related behavioral differences in family dogs
Siberski-Cooper et al. Opportunities to harness high-throughput and novel sensing phenotypes to improve feed efficiency in dairy cattle
Punalekar et al. Assessing suitability of Sentinel-2 bands for monitoring of nutrient concentration of pastures with a range of species compositions
Feng et al. Practical considerations for using the neospectra-scanner handheld near-infrared reflectance spectrometer to predict the nutritive value of undried ensiled forage
Rienesl et al. Prediction of acute and chronic mastitis in dairy cows based on somatic cell score and mid-infrared spectroscopy of milk
Ledda et al. Dry matter intake prediction from milk spectra in sarda dairy sheep
Lei et al. Non-invasive biomarkers in saliva and eye infrared thermography to assess the stress response of calves during transport
Kranz et al. Factors affecting species identifications of blow fly pupae based upon chemical profiles and multivariate statistics
Gruber et al. Importance of mid-infrared spectra regions for the prediction of mastitis and ketosis in dairy cows
Bouza-Rapti et al. Comparison of adhesive tape impression cytology, hair plucks, and fungal culture for the diagnosis of dermatophytosis in dogs and cats
Panisson et al. Urinary and serum concentration of deoxynivalenol (DON) and DON metabolites as an indicator of DON contamination in swine diets
Guo et al. Comparison of laboratory and field remote sensing methods to measure forage quality
Jarque-Bascuñana et al. Near infrared reflectance spectroscopy analysis to predict diet composition of a mountain ungulate species
Sheng et al. Near-infrared spectroscopy and mode cloning (NIR-MC) for in-situ analysis of crude protein in bamboo