20.500.12556/DKUM-62694 Možnost uporabe digitalne fotografije in računalniške vizualizacije za ugotavljanje kakovosti nanosa škropilne brozge Options of Using Digital Photography and Computer Visualisation in Determining Spray Deposit Quality V nasadih jablan smo ugotavljali kakovost nanosa škropilne brozge z uporabo na vodo občutljivih (WSP) lističev, z uporabo barvnega sledilca tartrazin (BST) in fluorescentnega sledilca uvitex (FSU) na filtrskem papirju in na listih. Rezultate smo primerjali z novo razvito metodo ugotavljanja pokrovnosti s pomočjo analize fotografij odtisov fluorescentnega sledilca na listih. Fotografiranje je bilo izvedeno neposredno v nasadu z digitalnim fotoaparatom Olympus C-3000, vgrajenim na zaprto škatlo, v kateri je UV žarnica osvetljevala liste poškropljene s fluorescentnim sledilcem. Dobljene fotografije so bile obdelane z dvema algoritmoma izdelanima v računalniškem okolju LabVIEW IMAQ Vision in Matlab R2015a. Rezultati so pokazali, da je zaradi visokih temperatur pri fotografiranju neposredno v nasadu kakovost fotografij zaradi segrevanja CCD senzorja zelo slaba, kar povzroča napaka imenovana »šum tipala«. Posledica je bila slaba korelacija med rezultati analize pokrovnosti z analizo fotografij listov in vrednostmi za pokrovnost, ugotovljenimi z drugimi uporabljenimi metodami. Postopek fotografiranja smo v naslednjem poskusu ponovili v hladnih prostorih in dobili boljše ujemanje rezultatov analize fotografij in drugih proučevanih metod. Stopnja ujemanja rezultatov analize kakovosti depozita je bila pri fotografski metodi podobno nizka, kot stopnja ujemanja med standardnimi metodami (WSP proti BST ali WSP proti FSU). Kljub nizki stopnji ujemanja med rezultati različnih metod mislimo, da je fotografska metoda uporabna, saj pri statistični analizi ocen kakovosti depozita, privede do enakih sklepov glede učinka preučevanih dejavnikov na kakovost depozita škropilne brozge. The quality of spray deposit on apple leaves was assessed in a trail carried out in an apple orchard, using the following assessment techniques: coverage analysis on water sensitive papers (WSP), deposit analysis of colour dye atrazine (CDT) and fluorescent dye uvitex (FDU) on apple leaves and filter papers. The results of the spray deposit analysis via WSP, CDT and FDU use were compared with a newly developed method of determining spray coverage through the analysis of photographs of fluorescent tracer droplet prints on the leaves. Photographs of the apple leaves treated with fluorescent dye were taken directly in the orchard with a digital camera Olympus C - 3000 built on a closed box (without sunlight access) in which a special lamp illuminated the leaves with UV light. The resulting photos were processed via the LabVIEW IMAQ Vision and Matlab R2015a image analysing softwares, which operate on the basis of two different analysis algorithms. The results showed, that due to high temperatures when shooting photos directly in the orchard, the quality of the photos is not good enough for quality image software processing because of the excessive heating of the CCD sensor, causing an error labelled as »sensor noise«. The consequence was a poor correlation between the results obtained by use of photograph coverage analysis of leaves treated with fluorescent dye, and coverage values obtained with other tested methods. In the repeated experiment the process of shooting was carried out in a cold room and we got a much better match between our results of the photograph analysis and other methods studied. The level of statistical match (correlation) between the analysis results of the spray deposit quality were similarly low in the photographic method as the level of correlation between the results obtained by standard methods (WSP vs. CDT or WSP vs. FDU). Despite the low level of correlation between the results of different methods we think that the photographic method is a useful tool for assessing spray deposit quality. The statistical analysis of coverage values obtained via the photographic method lead to the same conclusions regarding the effect of the studied factors on the quality of the spray deposit as the other five examined methods. pršilnik jablana (Malus domestica Borkh.) sledilno barvilo analiza pokrovnosti z oblogo škropiva analiza slik digitalna fotografija sprayer apple (Malus domestica Borkh.) tracer colour spray coverage analysis image processing digital photography true true false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2016-08-31 07:31:18 2016-09-09 11:07:15 2022-06-30 03:07:13 2019-07-11 13:04:25 2016 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 URN:SI:UM:DK:4QXOCVUK MAG_Sagadin_Matjaz_2016.pdf MAG_Sagadin_Matjaz_2016.pdf 1 3B1FCD0E10E62BD7758E13D7CB4BC747 e446cfeed43d5debf5db460284cb525dde859828dabaae9b196e91cf5307d734 373c034f-7c0d-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=101285 Fakulteta za kmetijstvo in biosistemske vede 0 0 0