Umjetna inteligencija u proizvodnji i preradi poljoprivrednih proizvoda

undergraduate thesis

• Title (english): Artificial intelligence in the production and processing of agricultural products
• Author: Ivan Mikulaj
• Mentor: Ante Galić (mentor)
• Committee member: Ante Galić (predsjednik povjerenstva)
• Committee member: Igor Kovačev (član povjerenstva)
• Committee member: Stjepan Sito (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Sustainable Technologies and Renewable Energy Sources); Zagreb
• Defense date and country: 2024-09-19, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Rad analizira primjenu umjetne inteligencije (UI) u ključnim aspektima poljoprivredne proizvodnje, uključujući optimizaciju uzgoja, preciznu poljoprivredu, prognozu prinosa, kontrolu štetnika i bolesti te transport. Također, obrađena je i primjena UI u procesima dorade i prerade poljoprivredno prehrambenih proizvoda, kao što su sortiranje, pakiranje i praćenje kvalitete, gdje UI doprinosi povećanju učinkovitosti, smanjenju troškova i smanjenju otpada.
Prikazani su primjeri kako su tehnologije UI već počele mijenjati način na koji se poljoprivredna proizvodnja i prerada odvijaju. Posebno se ističe uloga osjetnika u prikupljanju podataka, koje UI potom analizira kako bi se donijele odluke u stvarnom vremenu. Rad također naglašava važnost etičkih i društvenih implikacija primjene UI u poljoprivredi, uključujući pitanja privatnosti i sigurnosti podataka.

Abstract (english)

The paper analyzes in detail the application of artificial intelligence (AI) in key aspects of agricultural production, such as crop optimization, precision agriculture, yield forecasting, pest and disease control and transportation. It also discusses the application of AI in the processing of agricultural products, e.g. in sorting, packaging and quality monitoring, where AI helps to increase efficiency, reduce costs and avoid waste.
Examples are presented of how AI technologies have already started to change agricultural production and processing. In particular, the role of sensors in collecting data, which is then analyzed by AI to make decisions in real time, is highlighted. The paper also discusses the importance of the ethical and social implications of the use of AI in agriculture, including privacy and safety issues.

• Keywords: umjetna inteligencija; poljoprivreda; pametni staklenici; upravljanje vodom; animalna proizvodnja
• Keywords (english): artificial intelligence; agriculture; smart greenhouses; water management; animal husbandry
• Language: croatian
• URN:NBN: urn:nbn:hr:204:258621
• Study programme: Title: Agricultural Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka poljoprivredne tehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka poljoprivredne tehnike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2024-11-28 13:18:38