Proximal Sensing in Grasslands and Pastures

dc.contributor.authorGhajar, Shayanen
dc.contributor.authorTracy, Benjamin F.en
dc.contributor.departmentSchool of Plant and Environmental Sciencesen
dc.date.accessioned2021-08-09T16:53:23Zen
dc.date.available2021-08-09T16:53:23Zen
dc.date.issued2021-08-04en
dc.date.updated2021-08-06T15:21:00Zen
dc.description.abstractReliable measures of biomass, species composition, nitrogen status, and nutritive value provide important indicators of the status of pastures and rangelands, allowing managers to make informed decisions. Traditional methods of sample collection necessitate significant investments in time and labor. Proximal sensing technologies have the potential to collect more data with a smaller investment in time and labor. However, methods and protocols for conducting pasture assessments with proximal sensors are still in development, equipment and software vary considerably, and the accuracy and utility of these assessments differ between methods and sites. This review summarizes the methods currently being developed to assess pastures and rangelands worldwide and discusses these emerging technologies in the context of diffusion of innovation theory.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGhajar, S.; Tracy, B. Proximal Sensing in Grasslands and Pastures. Agriculture 2021, 11, 740.en
dc.identifier.doihttps://doi.org/10.3390/agriculture11080740en
dc.identifier.urihttp://hdl.handle.net/10919/104606en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectproximalen
dc.subjectsensingen
dc.subjectLiDARen
dc.subjectphotogrammetryen
dc.subjectgrasslandsen
dc.subjectpasturesen
dc.titleProximal Sensing in Grasslands and Pasturesen
dc.title.serialAgricultureen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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