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master's thesis
Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechical Sciences Osijek, 2021. urn:nbn:hr:151:224576
Bilić, Josip
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
Department of Agricultural Engineering and Renewable Energy Resources

Institutional repository: Repository of the Faculty of Agrobiotechnical Sciences Osijek

Cite this document

Bilić, J. (2021). Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:224576

Bilić, Josip. "Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:151:224576

Bilić, Josip. "Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:151:224576

Bilić, J. (2021). 'Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 16 May 2024, https://urn.nsk.hr/urn:nbn:hr:151:224576

Bilić J. Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2021 [cited 2024 May 16] Available at: https://urn.nsk.hr/urn:nbn:hr:151:224576

J. Bilić, "Pregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:151:224576

Metadata
TitlePregled algoritama strojnog učenja u poljoprivredi i zaštiti okoliša
Title (english)A review of machine learning algorithms in agriculture and environment protection
AuthorJosip Bilić
MentorMladen Jurišić (mentor)
Committee memberIvan Plaščak (predsjednik povjerenstva)
Committee memberDorijan Radočaj (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Agricultural Engineering and Renewable Energy Resources)
Osijek
Defense date and country2021-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Agricultural Engineering and Technology
Abstract
U radu su prikazane metode te načini strojnog i dubokog strojnog učenja i njegova implementacija u poljoprivredi i zaštiti okoliša. U prvom dijelu rada opisano je kako strojno učenje može biti nadzirano ili nenadzirano. Također se opisuju neuronske mreže koje su mozak algoritama dubokog strojnog učenja. U drugom dijelu rada opisana je primjena strojnog učenja u poljoprivredi te kako ona utječe na očuvanje okoliša. Govori se kako bez 5G integracije precizna poljoprivreda zapravo ne bi ni postojala. Opisane su suvremene kamere koje otkrivaju bolesti i korove. Navedeni su bespilotni zrakoplovi koji imaju ulogu snimanja i tretiranja zemljišta iz zraka pa čak i za prijevoz tereta. Spomenuta je tehnologija i roboti koji se koriste u razvijenijim dijelovima svijeta. Navedeni roboti još su u fazi razvijanja i na dobrom su putu za probijanje na svjetsko tržište poljoprivredne suvremene tehnologije
Abstract (english)
The paper presents the methods and ways of machine and deep machine learning and its implementation in agriculture and environmental protection. The first part of the paper describes how machine learning can be supervised or unsupervised. Neural networks that are the brain of deep machine learning algorithms are also described. The second part of the paper describes the application of machine learning in agriculture as it affects the preservation of the environment. It is said that without 5G integration, precision agriculture would not even exist. Modern cameras that detect diseases and weeds are described. Drones are listed that have the role of filming and treating land from the air and even for transporting cargo. Technology and robots used in more developed parts of the world are mentioned. These robots are still in the development phase and on a good way to break into the world market of modern agricultural technologies.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:151:224576
Study programmeTitle: Mechanization
Study programme type: university
Study level: graduate
Academic / professional title: magistar/ magistra inženjer/inženjerka mehanizacije (magistar/ magistra inženjer/inženjerka mehanizacije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public notediplomski rad
Created on2021-10-12 06:39:23