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undergraduate thesis
Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane
Osijek: Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY, 2024. urn:nbn:hr:109:503443
Šešuk, Tea
Josip Juraj Strossmayer University of Osijek
FACULTY OF FOOD TECHNOLOGY
Department of Food and Nutrition Research
Sub-department of Food Quality

Institutional repository: Repository of the Faculty of Food Technology Osijek

Cite this document

Šešuk, T. (2024). Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY. Retrieved from https://urn.nsk.hr/urn:nbn:hr:109:503443

Šešuk, Tea. "Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY, 2024. https://urn.nsk.hr/urn:nbn:hr:109:503443

Šešuk, Tea. "Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY, 2024. https://urn.nsk.hr/urn:nbn:hr:109:503443

Šešuk, T. (2024). 'Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:109:503443

Šešuk T. Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY; 2024 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:109:503443

T. Šešuk, "Mogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, FACULTY OF FOOD TECHNOLOGY, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:109:503443

Metadata
TitleMogućnosti primjene umjetne inteligencije u kontroli kvalitete hrane
Title (english)Possibilities of Artificial Intelligence Application in Food Quality Control
AuthorTea Šešuk
MentorBlanka Bilić Rajs (mentor)
GranterJosip Juraj Strossmayer University of Osijek
FACULTY OF FOOD TECHNOLOGY
(Department of Food and Nutrition Research)
(Sub-department of Food Quality)
Osijek
Defense date and country2024-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Food Technology
Food Safety and Quality
Abstract
Umjetna inteligencija (AI) te digitalne tehnologije koje su usko uz nju vezane, poput strojnog (ML) i dubokog učenja (DL) te Internet stvari (IoT), predstavljaju jedno od najvažnijih tehnoloških dostignuća 21. stoljeća. Transformirali su gotovo sve industrije, uključujući i cjelokupan lanac proizvodnje hrane. U poljoprivredi se pomoću dronova i IoT senzora prikupljaju velike količine podataka o zrelosti usjeva, prisutnosti nametnika, pesticida i herbicida, a zatim se primjenom algoritama ML te neuronskim mrežama DL optimiziraju poljoprivredni procesi. Istraživanja su pokazala i značajne rezultate u urbanističkoj hortikulturi te preciznoj hranidbi životinja. U logističkim procesima i skladištenju, kontinuiranim praćenjem i kontrolom mikroklimatskih čimbenika (temperatura i vlažnost zraka, razina kisika i sl.) pomoću IoT senzora, spriječava se kvarenje i kontaminacija hrane. Senzorske tehnologije, poput elektroničkog, omogućuju detaljnu analizu kvalitete hrane, identificirajući potencijalne rizike i osiguravajući usklađenost s regulativama. Primjena AI i ostalih digitalnih tehnologija pokazuje znatan potencijal i efikasnost u upravljanju sigurnošću i kvalitetom hrane. Daljnja znanstvena istraživanja i implementacija rezultata postaju ključni u suočavanju s izazovima budućnosti.
Abstract (english)
Artificial Intelligence (AI) and digital technologies closely related to it, such as Machine Learning (ML), Deep Learning (DL), and the Internet of Things (IoT), represent some of the most significant technological achievements of the 21st century. They have transformed nearly every industry, including the entire food production chain. In agriculture, drones and IoT sensors collect large amounts of data on crop maturity, pest presence, and the use of pesticides and herbicides, which are then optimized using ML algorithms and DL neural networks. Research has also shown significant results in urban horticulture and precision animal feeding. In logistics and storage, continuous monitoring and control of microclimatic factors (temperature, humidity, oxygen levels, etc.) using IoT sensors prevent spoilage and contamination of food. Sensor technologies, such as electronic sensors, enable detailed analysis of food quality, identifying potential risks and ensuring regulatory compliance. The application of AI and other digital technologies demonstrates substantial potential and efficiency in managing food safety and quality. Further scientific research and implementation of these results are crucial for addressing future challenges.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:109:503443
Study programmeTitle: Food Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prehrambene tehnologije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prehrambene tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2024-09-23 13:21:20