20.500.12556/RUL-172921 Fenotipizacija rastlin - pregled sodobnih metod Plant phenotyping - a review of modern methods Napredek v kmetijstvu in selekciji rastlin zahteva vedno natančnejše, hitrejše in bolj ponovljive metode spremljanja lastnosti rastlin. Fenotipizacija rastlin, kot orodje za kvantitativno oceno morfoloških, fizioloških in biokemičnih značilnosti rastlin, predstavlja ključno povezavo med genotipom in fenotipom. Konvencionalne metode fenotipizacije so zamudne in omejene, kar je spodbudilo razvoj sodobnih, pretežno nedestruktivnih metod, ki jih zaradi močno zmanjšanega časa meritev in obdelave podatkov označujemo s terminom visokopropustne (high throughput). Večinoma gre za snemanja v različnih delih spektra: RGB, IR snemanja, multispektralna in hiperspektralna snemanja, LiDAR, meritve fluorescence. Podpira jih napredna analiza pridobljenih slik. To diplomsko delo ponuja sistematičen pregled novejših metod fenotipizacije, vključno z njihovimi fizikalnimi osnovami. Predstavljene so različne platforme, na katerih se uporabljajo, od fiksnih in premičnih talnih platform do multisenzorskih zračnih enot, njihova uporaba v praksi in vloga umetne inteligence pri obdelavi podatkov. Izpostavljeni so tudi aktualni izzivi, povezani z obvladovanjem velikih količin podatkov, standardizacijo postopkov in dostopnostjo tehnologij za širšo uporabo. Progress in agriculture and plant breeding requires increasingly precise, fast and reproducible methods for monitoring plant traits. Plant phenotyping as a tool for quantitative assessment of morphological, physiological and biochemical traits, represents a key link between genotype and phenotype. Conventional phenotyping methods are time consuming and limiting, which has driven the development of modern, predominantly non-destructive techniques. Due to the significantly reduced measurement time and data processing requirements, these are referred to as high-throughput methods. In most cases these are imaging techniques in various spectral ranges, including RGB, infrared (IR), multispectral and hyperspectral imaging, LiDAR and chlorophyll fluorescence measurements. These systems are supported by advanced image analysis techniques. This thesis provides a systematic overview of the latest phenotyping approaches, including the underlying physical principles. It presents different platforms for data acquisition, ranging from fixed and mobile ground-based systems to multisensor airborne units, as well as their practical applications, and the role of artificial intelligence in data processing. It also highlights current challenges related to managing large data sets, standardising protocols and improving the accessibility of technologies for wider use. fenotipizacija rastlin metode visoka propustnost daljinsko zaznavanje fenomika plant phenotyping methods high throughput remote sensing phenomics true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-09-12 07:18:50 2025-09-12 07:18:52 2025-10-28 03:46:39 0000-00-00 00:00:00 2025 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 263660 248969219 51124.pdf 51124.pdf 1 588D03DD15D4EF9CC27206D95E0648F4 faf69fa576e47289d0b5570f1c1cd04164bc8bb52ccacbe47514dc76f53dfb5b cee8996c-8f97-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=217055 Biotehniška fakulteta 0 0 0