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Title:USPEŠNOST UPORABE ANALIZE SLIKE ZA OCENO CVETNEGA NASTAVKA, ŠTEVILA PLODIČEV IN PLODOV PRI JABLANAH SORTE 'DALINBEL'
Authors:ID Kokol, Jernej (Author)
ID Stajnko, Denis (Mentor) More about this mentor... New window
Files:.pdf VS_Kokol_Jernej_2014.pdf (2,15 MB)
MD5: 6CB92DAA673717652460DD41A9FA1D88
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:V letu 2013 smo na poskusni postaji Sadjarskega centra Maribor v Gačniku preizkušali natančnost napovedi pridelka z metodo avtomatskega štetja cvetov, plodičev in plodov v primerjavi z ročnim štetjem pri jablanah sorte ´Dalinbel´. Namen poskusa je bil preveriti natančnost digitalne prognoze cvetov, plodičev in plodov ter možnost za nadomestitev dosedanje metode ročnega štetja z novo, hitrejšo metodo analize slike. Metodo smo preizkušali v petih razvojnih fazah od začetka cvetenja do obiranja plodov ter povezanost rezultatov podali s Pearsonovim koeficientom linearne korelacije. V poskusu smo ugotovili, da je Pearsonov koeficient v fazi rdečega balona znašal r = 0.38, v fazi polnega cvetenja r = 0.67, v fazi pred redčenjem plodičev r = 0.30, v fazi po redčenju plodičev r = 0.55 in v fazi obiranja plodov r = 0.72. Ugotovili smo, da je metoda analize slike ponudila dokaj uporabne ocene v fazi polnega cvetenja in fazi zrelih plodov, v ostalih razvojnih fazah jabolk pa metoda analize slike ni ponudila uporabnih ocen. Na podlagi rezultatov izvedenega poizkusa smo ocenili, da lahko ob dodatnem izboljševanju metode in programa za štetje cvetov plodičev in plodov le-ta postane alternativa dosedanjim metodam ročnega štetja.
Keywords:analiza slike, ' Dalinbel ', napovedovanje pridelka, umetni vid
Place of publishing:Maribor
Year of publishing:2014
PID:20.500.12556/DKUM-45705 New window
NUK URN:URN:SI:UM:DK:NBDHCL2Y
Publication date in DKUM:26.09.2014
Views:1845
Downloads:123
Metadata:XML DC-XML DC-RDF
Categories:FKBV
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Secondary language

Language:English
Title:The success of the image analysis application for the forecast of flower basing, the number of fruitlets and ripe fruits in the 'Dalinbel' apple variety
Abstract:In 2013 we have tested the accuracy of the apple harvest forecast with 'Dalinbel' variety carried out with the method of automatic counting of flowers, fruitlets and ripe fruits and the possibility of replacing the current manual method with the faster method of image analysis. The method was tested in five development phases from the blossom to the harvest of fruits. The results were presented with Pearson quotient of linear correlation. During the experiment it was established that the Pearson quotient in the phase of red balloon was r=0,38, in the phase of full blossom r=0,67, in the phase before fruit thinning r=0,30, in the phase after fruit thinning r=0,55 and in the phase of fruit harvest r=0,72. It was established that the method of image analysis offers very useful forecast in the phase of full blossom and in the phase of ripe fruits; however in other development stages of apple this method did not bring useful evaluations and results. On the basis of results of the experiment we assume that with further improvements in the programme for counting flowers, fruitlets and ripe fruits, the method of image analysis can become an alternative to the present manual counting.
Keywords:image analysis, 'Dalinbel', harvest forecast, image vision


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