Potential of hyperspectral remote sensing to estimate the yield of a Crambe abyssinica Hochst crop-Reference-Cited by-同舟云学术

Potential of hyperspectral remote sensing to estimate the yield of a Crambe abyssinica Hochst crop

Published:2018-02-14 Issue:01 Volume:12 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Viana Octavio Henrique¹,Mercante Erivelto¹,de Andrade Mauricio Guy²,Felipetto Henrique¹,Cattani Carlos Eduardo Vizzotto¹,Bombarda Filipe Fontes³,Boas Marcio Antonio Vilas¹

Affiliation:

1. Universidade Estadual do Oeste do Paraná–UNIOESTE, Agricultural Engineering–PGEAGRI, Cascavel, Paran

2. Universidade Federal do Paraná–UFPR, Department of Engineering and Exact, Palotina, Paraná

3. Centro Universitário FAG, Agronomy, Cascavel, Paraná

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference33 articles.

1. Assessment of a crambe (Crambe abyssinica Hochst) crop under no-tillage in different sowing dates

2. Oilseed crop crambe as a source of renewable energy in Brazil

3. Multitemporal spectroscopy for crop stress detection using band selection methods

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