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Estimating Biomass of Black Oat Using UAV-Based RGB Imaging:
Matheus Gabriel Acorsi
;
Fabiani das Dores Abati Miranda
;
Maurício Martello
..
https://www.mdpi.com/2073-4395/9/7/344. , 2019
Link:
https://doi.org/10.3390/agronomy9070344
RT Journal T1
Estimating Biomass of Black Oat Using UAV-Based RGB Imaging
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:1a0439acef8f40479d1c623a6094e2a8&Exemplar=1&LAN=DE A1 Matheus Gabriel Acorsi A1 Fabiani das Dores Abati Miranda A1 Maurício Martello A1 Danrley Antonio Smaniotto A1 Laercio Ricardo Sartor PB MDPI AG YR 2019 K1 structure from motion K1 yield maps K1 remote sensing K1 precision agriculture K1 plant height K1 unmanned aerial vehicle K1 crop surface model K1 Agriculture K1 S JF https://www.mdpi.com/2073-4395/9/7/344 LK http://dx.doi.org/https://doi.org/10.3390/agronomy9070344 DO https://doi.org/10.3390/agronomy9070344 SF ELIB - SuUB Bremen
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