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master's thesis
Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi
2023. urn:nbn:hr:168:120311
Fribert, Petra
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Fribert, P. (2023). Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:120311

Fribert, Petra. "Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:120311

Fribert, Petra. "Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:120311

Fribert, P. (2023). 'Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:120311

Fribert P. Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 October 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:120311

P. Fribert, "Model predviđanja navodnjavanja usjeva u pametnoj poljoprivredi", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:120311

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Metadata
TitleModel predviđanja navodnjavanja usjeva u pametnoj poljoprivredi
Title (english)Crop irrigation prediction model in smart agriculture
AuthorPetra Fribert
MentorGordan Ježić (mentor)
Committee memberGordan Ježić (predsjednik povjerenstva)
Committee memberIvana Podnar Žarko (član povjerenstva)
Committee memberMario Kušek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-04, Croatia
Abstract
Rad obrad̄uje važnost upravljanja vodom u poljoprivredi i kako pametno navodnja- vanje pruža revolucionarni način upravljanja vodom i kvalitetom usjeva. Istražuje na koje načine treba odrediti količinu vode za navodnjavanje te koji su nadzirani algoritmi strojnog učenja efikasni u predikciji problematike. Rezultati pokazuju da su ovisno o dostupnim meteorološkim varijablama efikasni algoritmi linearna regresija i regresija nasumičnih šuma.
Abstract (english)
This thesis shows why water management in agriculture is important and how smart irrigation provides a revolutionary way of managing water and crop quality. It also explores ways in which the correct effective amount of water for irrigation should be calculated using supervised machine learning algorithms. Results have shown that based on input meteorological variables effective algorithms are linear regression and random forest regression.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:120311
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-10-11 08:51:41