Please use this identifier to cite or link to this item: http://repository.afs.edu.gr/handle/6000/233
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorGertsis, Athanasiosen_US
dc.contributor.authorAsimidis, Theagenisen_US
dc.date.accessioned2019-08-12T12:43:09Z-
dc.date.available2019-08-12T12:43:09Z-
dc.date.issued2016-05-25-
dc.identifier.urihttp://repository.afs.edu.gr/handle/6000/233-
dc.identifier.urihttps://librarycatalog.afs.edu.gr/cgi-bin/koha/opac-detail.pl?biblionumber=21245en_US
dc.descriptionIncludes bibliographical references, charts and illustrationsen_US
dc.descriptionBSc (Hons) in Agro-Environmental Systems Managementen_US
dc.description.abstractThis dissertation deals with nerin und around remote sensing technologies utilization to delineate Management Zones (MZs) based on a Vegetation Index. The introduction of this dissertation involves basic information and facts about precision agriculture, remote sensing, Technologies and management zonel M concept while in the literature review the referred issues are presented extensively with the addition of highlighting the provision of vegeancom Indeces (Vis), more specifically about the Normalized Difference Vegetation Index (NOVU Remote sensing technologies in combination with Geographic Information Systems (Gls) and Global Positioning Systems (GPS) constitute the basic tools in order to apply precision agriculture (PA). The combination of certain remote sensing technologies derived from different kind equipment has been proved to offer better pri interpretation. More specifically the data derived from the ground sensor for this dissertation after processing with related software became two maps of management zones (MZS) and the image captured from te UAV contributed less but significantly by obtaining and presenting one image. The data where in the form of NDVI which is one of the most common Vis as it shows the health status of the plant at certain moment of time through the indication of a percentage that represents vegetation (greenness'). The objective was accomplished as big variability was observed in the AFS olive grove concerning the NDVI which is related to the impacts of additional factors such as soil characteristics and in addition the establishment of MZs was succeeded. Eventually the variability observed can be monitored by utilizing the provided map and image products as guidelines in order to implement probably variable rate technology (VRT) systems and the provided soil analysis was useful to find a possible reason of noticing specific differences.en_US
dc.formatSpiral bindingen_US
dc.format.extent50 pagesen_US
dc.language.isoen_USen_US
dc.publisherPerrotis Collegeen_US
dc.publisherCardiff Metropolitan Universityen_US
dc.rightsAll rights reserveden_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectRemote sensingen_US
dc.subjectGround sensingen_US
dc.subjectUnmanned Aerial Vehicleen_US
dc.subjectUAVen_US
dc.subjectOlivesen_US
dc.subjectPrecision agricultureen_US
dc.subjectNormalized Difference Vegetation Indexen_US
dc.subjectNDVIen_US
dc.subjectManagement zonesen_US
dc.subjectMZen_US
dc.subjectVegetation indexen_US
dc.subjectVIen_US
dc.subjectMapen_US
dc.subjectCanopyen_US
dc.subjectReflectance characteristicsen_US
dc.subjectDronesen_US
dc.subjectAerial Imagingen_US
dc.subject.lcshDissertations, Academicen_US
dc.subject.lcshAgriculture - Remote sensingen_US
dc.subject.lcshVegetation managementen_US
dc.subject.lcshAgricultural mappingen_US
dc.subject.lcshAgriculture - Data processingen_US
dc.subject.lcshOlive treesen_US
dc.subject.lcshDrone aircraft in remote sensingen_US
dc.subject.otherPerrotis College - Dissertations - 2016en_US
dc.subject.otherPrecision agriculture. Perrotis Collegeen_US
dc.titleAerial and ground remote sensor technologies used to delineate management zones based on vegetation indices : case study application “The research olive grove at Perrotis College”en_US
dc.typeDissertationen_US
local.description.statusNot publisheden_US
local.repositoryDAPLen_US
Appears in Collections:Dissertations

Files in This Item:
There are no files associated with this item.


This item is licensed under a Creative Commons License Creative Commons