Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images-Reference-Cited by-同舟云学术

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Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images

Published:2017-12 Issue: Volume:143 Page:49-56
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Souza Carlos Henrique Wachholz de,Lamparelli Rubens Augusto Camargo,Rocha Jansle Vieira,Magalhães Paulo Sergio Graziano

Funder

São Paulo Research Foundation FAPESP

Odebrecht Agro-Industrial

CAPES

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference50 articles.

1. The application of remote sensing techniques to sugarcane (Saccharum spp. hybrid) production: a review of the literature;Abdel-Rahman;Int. J. Remote Sens.,2008

2. A review of remote sensing methods for biomass feedstock production;Ahamed;Biomass Bioenerg.,2011

3. Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI;Bégué;Int. J. Remote Sens.,2010

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

5. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle;Berni;IEEE Trans. Geosci. Remote Sens.,2009

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