Application of Machine Learning Algorithms to Estimate Tropical Pasture Biomass Based on Satellite Images.
dc.contributor.author | Fernandes, Marcia H. [UNESP] | |
dc.contributor.author | Fernandes, Jalme | |
dc.contributor.author | Reis, Ricardo Andrade [UNESP] | |
dc.contributor.author | Tedeschi, Luis O. | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Sigfarm Intelligence | |
dc.contributor.institution | Texas A&M Univ | |
dc.date.accessioned | 2023-07-29T12:14:58Z | |
dc.date.available | 2023-07-29T12:14:58Z | |
dc.date.issued | 2022-10-01 | |
dc.description.affiliation | Sao Paulo State Univ UNESP, Sao Paulo, Brazil | |
dc.description.affiliation | Sigfarm Intelligence, Austin, TX USA | |
dc.description.affiliation | Texas A&M Univ, Dept Anim Sci, College Stn, TX 77843 USA | |
dc.description.affiliationUnesp | Sao Paulo State Univ UNESP, Sao Paulo, Brazil | |
dc.description.sponsorship | Funda��o de Amparo � Pesquisa do Estado de S�o Paulo (FAPESP) | |
dc.description.sponsorshipId | FAPESP: 15/16631-5 | |
dc.description.sponsorshipId | FAPESP: 17/18750-7 | |
dc.description.sponsorshipId | FAPESP: 20/14367-7 | |
dc.format.extent | 284-285 | |
dc.identifier.citation | Journal of Animal Science. Cary: Oxford Univ Press Inc, v. 100, p. 284-285, 2022. | |
dc.identifier.issn | 0021-8812 | |
dc.identifier.uri | http://hdl.handle.net/11449/245820 | |
dc.identifier.wos | WOS:000972483200520 | |
dc.language.iso | eng | |
dc.publisher | Oxford Univ Press Inc | |
dc.relation.ispartof | Journal Of Animal Science | |
dc.source | Web of Science | |
dc.subject | grassland | |
dc.subject | remote sensing | |
dc.subject | vegetation index | |
dc.title | Application of Machine Learning Algorithms to Estimate Tropical Pasture Biomass Based on Satellite Images. | en |
dc.type | Resumo | |
dcterms.license | http://www.oxfordjournals.org/access_purchase/self-archiving_policyb.html | |
dcterms.rightsHolder | Oxford Univ Press Inc | |
unesp.department | Zootecnia - FCAV | pt |