Приказ основних података о документу
Primena veštačke inteligencije u oplemenjivanju poljoprivredih biljaka
Application of artificial intelligence in the breeding of agricultural plants
dc.creator | Prodanović, Slaven | |
dc.creator | Luković, Kristina | |
dc.creator | Radinović, Irena | |
dc.date.accessioned | 2023-10-30T11:59:19Z | |
dc.date.available | 2023-10-30T11:59:19Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-86-905494-0-5 | |
dc.identifier.uri | http://RIVeC.institut-palanka.rs/handle/123456789/759 | |
dc.description.abstract | Pri donošenju odluka o selekcionom materijalu na osnovu prikupljenih podataka, oplemenjivači širom sveta sve češće koriste veštačku inteligenciju. Termin „veštačka inteligencija“ (VI) opisuje sposobnost mašina da oponašaju ljudsku inteligenciju. Ovaj rad ima za cilj da prikaže način funkcionisanja VI uz objašnjenje odgovarajućih termina, kao što su: algoritam, mašinsko učenje, duboko učenje, neuronska mreža, stabla odlučivanja, mašine vektora podrške, obuka ili trening za razvoj VI, računarstvo u oblaku, grafičke procesorske jedinice (GPU) i lokalni klasteri GPU. U radu se navode aktuelni oblici korišćenja VI u oplemenjivanju biljaka i diskutuju mogućnosti i izazovi primene VI u narednom periodu. | sr |
dc.description.abstract | When making decisions about selection material based on collected data, breeders around the world are increasingly using artificial intelligence. The term "artificial intelligence" (AI) describes the ability of machines to imitate human intelligence. This paper aims to show how AI works by explaining the relevant terms, such as: algorithm, machine learning, deep learning, neural network, decision trees, support vector machines, training for AI, cloud computing, graphics processing units (GPUs) and local GPU clusters. The paper lists the current forms of using AI in plant breeding and discusses the possibilities and challenges of using AI in the future. | sr |
dc.language.iso | sr | sr |
dc.publisher | Kragujevac : Centar za strna žita i razvoj sela | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200116/RS// | sr |
dc.rights | openAccess | sr |
dc.source | Zbornik radova : Naučni skup nacionalnog karaktera 125 godina primenjene nauke u poljoprivredi Srbije, Kragujevac 22. jun | sr |
dc.subject | mašinsko učenje | sr |
dc.subject | model | sr |
dc.subject | genotip | sr |
dc.subject | fenotipiranje | sr |
dc.subject | izazovi | sr |
dc.subject | machine learning | sr |
dc.subject | model | sr |
dc.subject | genotype | sr |
dc.subject | phenotyping | sr |
dc.subject | challenges | sr |
dc.title | Primena veštačke inteligencije u oplemenjivanju poljoprivredih biljaka | sr |
dc.title | Application of artificial intelligence in the breeding of agricultural plants | sr |
dc.type | conferenceObject | sr |
dc.rights.license | ARR | sr |
dc.citation.epage | 91 | |
dc.citation.spage | 84 | |
dc.identifier.fulltext | http://RIVeC.institut-palanka.rs/bitstream/id/2445/KL06.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_rivec_759 | |
dc.type.version | publishedVersion | sr |