Evaluating Remote Sensing Techniques for Assessing Phytophthora Root Rote Induced Canopy Decline Symptoms in Avocado Orchards - Dataset

Title
Evaluating Remote Sensing Techniques for Assessing Phytophthora Root Rote Induced Canopy Decline Symptoms in Avocado Orchards - Dataset
Publication Date
2019-11-29
Author(s)
Salgadoe, Surantha
( creator )
OrcID: https://orcid.org/0000-0002-9962-9508
Email: asalgado@myune.edu.au
UNE Id une-id:asalgado
Lamb, David
( supervisor )
OrcID: https://orcid.org/0000-0002-2917-2231
Email: dlamb@une.edu.au
UNE Id une-id:dlamb
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, NSW, Australia
DOI
10.25952/g64n-5591
UNE publication id
une:1959.11/63001
Abstract
Phytophthora root rot disease (PRR) is a major threat in avocado orchards. To identify a potential alternative to the current methods of assessing PRR in avocado for example visual assessment of canopy decline by human eyes, data has been collected from number of novel remote sensing technologies for measuring PRR induced canopy decline in avocado. Included Red Green and Blue (RGB) imagery acquired from a smartphone; thermal imagery from a hand-held camera and hyperspectral data acquired with a hand-held FieldSpec® 3 spectroradiometer
Link
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International

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