20.500.12556/DKUM-45235 MOŽNOST UPORABE ANALIZE SLIKE ZA OCENO CVETNEGA NASTAVKA IN ŠTEVILA PLODIČEV PRI SORTI 'MAIRAC' The possibility of image analysis for evaluation of flowering and number of fruits in ´Mairac´ apple variety V nasadu jablan Sadjarskega centra Maribor v Gačniku smo v letu 2013 s pomočjo metode analize slike želeli natačno napovedati pridelek jabolk sorte ´Mairac´. Poizkušali smo napovedati pridelek z metodo avtomatskega štetja cvetov in ga primerjati z ročnim štetjem. Namen poskusa je bil ugotoviti natančnost digitalnega štetja cvetov in plodičev ter možnost zamenjave dosedanjega ročnega štetja z novejšo metodo analize slike. Poskus smo opravili v štirih razvojnih fazah: rdeči balon, polno cvetenje, T-stadij plodičev in po junijskem redčenju plodičev. Po opravljeni statistični obdelavi podatkov smo rezultate predstavili s Pearsonovim koeficientom linerarne korelacije. Dobljeni rezultati so pokazali, da je znašal Pearsonov koeficient v času rdečega balona r = 0,33, v fazi polnega cvetenja r = 0,37, pri plodčih pred redčenjem r = 0,27 in v fazi plodičev po redčenju r = 0,14. Ugotovili smo, da so enačbe linerne regresije dobro ocenile število socvetij in plodičev v vseh fazah. Iz dobljenih rezultatov lahko sklepamo, da bi po izboljšanju metode analize slike in programa za štetje cvetov in plodičev le-to vpeljali kot bolj učinkovito metodo. In the apple orchard of Sadjarski centre Maribor in Gačnik (Fruit growing center Maribor) we wanted to thoroughly predict yield of the ‘Mairac’ apple variety by using the image analysis. We tried to predict the number of flowers with the method of automatic flower counting and compared it to manual counting. The purpose of the experiment was to find out accuracy of the computer flower and fruit counting and the possibility of using the new image analysis method instead of the old manual counting. The experiment was carried out in four development phases: a red balloon, full flowering, T-stage of fruits and after fruit thinning in June. After the statistical treatment of data the results were introduced by the Pearson linear correlation coefficient. The results showed that the Pearson coefficient in the phase of the red balloon was r = 0,33, in the phase of full flowering r = 0,37, before thinning r = 0,27 and after thinning r = 0,14. We found out that the equations of linear regression measured the number of inflorescences and fruits in all phases well. With additional improvements the method of image analysis might be a perfect substitution for manual flower and fruit counting. jabolka napoved cvetovi plodiči ´Mairac´ apple prediction flowers fruits ´Mairac´ true true false Slovenski jezik Angleški jezik Diplomsko delo 2014-08-19 12:59:24 2014-09-01 12:06:57 2022-05-15 03:06:31 2021-04-30 03:29:22 2014 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 URN:SI:UM:DK:IP8P3HQD VS_Kokosinek_Valentina_2014.pdf VS_Kokosinek_Valentina_2014.pdf 1 7CA0875FA7B258BB266E421C0C79D66D add723e753bdbcb268da1bac45f44974ac775b84609f7b1e0d0daa63e1fafbcb 0eb88af3-7c0b-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=65544 Fakulteta za kmetijstvo in biosistemske vede 0 0 0