ESTIMATION OF MAIZE BIOMASS USING UNMANNED AERIAL VEHICLES-Reference-Cited by-同舟云学术

ESTIMATION OF MAIZE BIOMASS USING UNMANNED AERIAL VEHICLES

Published:2019-12 Issue:6 Volume:39 Page:744-752
ISSN:1809-4430
Container-title:Engenharia Agrícola
language:
Short-container-title:Eng. Agríc.

Author:

Calou Vinícius B. C.¹^ORCID,Teixeira Adunias dos S.²,Moreira Luis C. J.¹,Rocha Neto Odílio C. da¹,Silva José A. da¹

Affiliation:

1. Instituto Federal de Educação, Ciência e Tecnologia, Brasil

2. Universidade Federal do Ceará, Brasil

Publisher

FapUNIFESP (SciELO)

Subject

Agricultural and Biological Sciences (miscellaneous)

Link

http://www.scielo.br/pdf/eagri/v39n6/1809-4430-eagri-39-06-0744.pdf

Reference25 articles.

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3. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging;Bendig J;Remote Sensing,2014

4. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices;Calderón R;Remote Sensing of Environment,2013

5. Soil Water Content and High-Resolution Imagery for Precision Irrigation: Maize Yield;De Lara A;Agronomy,2019

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