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

Salgadoe, Surantha; Lamb, David

Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63001

Title:	Evaluating Remote Sensing Techniques for Assessing Phytophthora Root Rote Induced Canopy Decline Symptoms in Avocado Orchards - Dataset
Contributor(s):	Salgadoe, Surantha (creator) ; Lamb, David (supervisor)
Publication Date:	2019-11-29
DOI:	10.25952/g64n-5591
Handle Link:	https://hdl.handle.net/1959.11/63001
Related Research Outputs:	https://hdl.handle.net/1959.11/57161
Abstract/Context:	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
Publication Type:	Dataset
Fields of Research (FOR):	090905 Photogrammetry and Remote Sensing 070199 Agriculture, Land and Farm Management not elsewhere classified
Fields of Research (FoR) 2020:	401304 Photogrammetry and remote sensing
Socio-Economic Objective (SEO):	820299 Horticultural Crops not elsewhere classified
Keywords:	Thermal Imagery Hyperspectral data RGB canopy imagery
Location Coordinates:	Childers (Bundaberg region), Queensland, Australia, (24°51′0″S, 152°21′0″E)
HERDC Category Description:	X Dataset
Dataset Managed By:	Surantha Salgadoe
Rights Holder:	Surantha Salgadoe
Dataset Stored at:	University of New England
Primary Contact Details:	Surantha Salgadoe - surantha_a@yahoo.com
Dataset Custodian Details:	Surantha Salgadoe - surantha@wyb.ac.lk
Appears in Collections:	Dataset School of Science and Technology