Object's details: Hyperspectral imaging in assessing the condition of plants: strengths and weaknesses

Provider:Platforma Otwartych Czasopism Naukowych UAM

Description

Title:
Hyperspectral imaging in assessing the condition of plants: strengths and weaknesses
Creator:
Dominiak-Świgoń, Martyna;
Olejniczak, Paweł;
Nowak, Maciej;
Lembicz, Marlena
Description:
Hyperspectral remote sensing of plants is widely used in agriculture and forestry. Fast, large-area monitoring is applied, among others, in detecting and diagnosing diseases, stress conditions or predicting the yields. Using available tools to increase the yields of most important crop plants (wheat, rice, corn) without posing threat to food security is essential in the situation of current climate changes. Spectral plant indices are associated with biochemical and biophysical plant characteristics. Using the plant spectral properties (mainly chlorophyll red light absorption and near-infrared range light reflectance in leaf intercellular spaces), it is possible to estimate plant condition, water and carotenoid contents or detect disease. More and more often, based on commonly used hyperspectral vegetation indices, new, more sensitive indices are introduced. Furthermore, to facilitate data processing, artificial intelligence is employed, i.e., neural networks and deep convolutional neural networks. It is important in ecological research to carry out long-term observations and measurements of organisms throughout their lifespan. A non-invasive, quick method ensures that it may be used many times and at each stage of plant development.
Object availability:
free access
Rights:
Prawa autorskie (c) 2019 Martyna Dominiak-Świgoń, Paweł Olejniczak, Maciej Nowak, Marlena Lembicz
Date:
2020.02.17
Type:
info:eu-repo/semantics/article;
info:eu-repo/semantics/publishedVersion;
Peer-reviewed article
Language:
English
Source:
Biodiversity: Research and Conservation; Vol. 55 (2019); 25-30;
Biodiversity Research and Conservation; Tom 55 (2019); 25-30;
2080-945X;
1897-2810
Format:
application/pdf
Publisher:
Adam Mickiewicz University Poznan
Relation: http://pressto.amu.edu.pl/index.php/biorc/article/view/biorc-2019-0011/29393
Subject:
hyperspectral remote sensing;
hyperspectral vegetation indices;
clonal plant;
life history
Identifier: http://pressto.amu.edu.pl/index.php/biorc/article/view/biorc-2019-0011
Data provider:
Platforma Otwartych Czasopism Naukowych UAM

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Object's details: Hyperspectral imaging in assessing the condition of plants: strengths and weaknesses

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