Please use this identifier to cite or link to this item:

Title: Hyperspectral refrectace as a basis to discriminate olive varieties - a tool for sustainable crop management
Authors: Gomes, Luís
Nobre, Tânia
Sousa, Adélia
Rei, Fernando
Guiomar, Nuno
Keywords: remote sensing
Oleae europaea
Issue Date: 10-Apr-2020
Publisher: Sustainability
Citation: Gomes, L, Nobre, T, Sousa, A, Rei, F, & Guiomar, N 2020, Hyperspectral refrectace as a basis to discriminate olive varieties - a tool for sustainable crop management Sustainability, 12, 3059; doi:10.3390/su12083059
Abstract: Worldwide sustainable development is threatened by current agricultural land change trends, particularly by the increasing rural farmland abandonment and agricultural intensification phenomena. In Mediterranean countries, these processes are a ecting especially traditional olive groves with enormous socio-economic costs to rural areas, endangering environmental sustainability and biodiversity. Traditional olive groves abandonment and intensification are clearly related to the reduction of olive oil production income, leading to reduced economic viability. Most promising strategies to boost traditional groves competitiveness—such as olive oil di erentiation through adoption of protected denomination of origin labels and development of value-added olive products—rely on knowledge of the olive varieties and its specific properties that confer their uniqueness and authenticity. Given the lack of information about olive varieties on traditional groves, a feasible and inexpensive method of variety identification is required. We analyzed leaf spectral information of ten Portuguese olive varieties with a powerful data-mining approach in order to verify the ability of satellite’s hyperspectral sensors to provide an accurate olive variety identification. Our results show that these olive varieties are distinguishable by leaf reflectance information and suggest that even satellite open-source data could be
URI: doi:10.3390/su12083059
Type: article
Appears in Collections:MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
sustainability-12-03059-v2.pdf1.99 MBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois