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Comparative analysis of orbital sensors in soybean yield es..:
Danielli Batistella
;
Alcir José Modolo
;
José Ricardo da Rocha Campos
.
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542023000100220&lng=en&tlng=en. , 2023
Link:
https://doi.org/10.1590/1413-7054202347002423
RT Journal T1 <Title>Comparative analysis of orbital sensors in soybean yield estimation by the random forest algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:6439b68bc9004315a69888844d20136f&Exemplar=1&LAN=DE A1 Danielli Batistella A1 Alcir José Modolo A1 José Ricardo da Rocha Campos A1 Vanderlei Aparecido de Lima PB Universidade Federal de Lavras YR 2023 K1 Remote sensing K1 yield estimation K1 machine learning K1 Agriculture (General) K1 S1-972 JF http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542023000100220&lng=en&tlng=en LK http://dx.doi.org/https://doi.org/10.1590/1413-7054202347002423 DO https://doi.org/10.1590/1413-7054202347002423 SF ELIB - SuUB Bremen
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