Usluga za vizualizaciju velike količine podataka iz različitih izvora u području pametne poljoprivrede

master's thesis

• Title (english): Service for vizualization of big data from different sources in the field of smart agriculture
• Author: Dominik Milošević
• Mentor: Gordan Ježić (mentor)
• Committee member: Gordan Ježić (predsjednik povjerenstva)
• Committee member: Mario Kušek (član povjerenstva)
• Committee member: Krunoslav Tržec (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Od samih početaka ljudske civilizacije, poljoprivreda je jedna od najstarijih i najvažnijih ljudskih djelatnosti. Cilj je uvijek dobiti što veći i kvalitetniji urod na što utječu brojni faktori, uglavnom klimatski. S vremenom su ljudi naučili promatrati klimu i prilagođavati joj se. U novije vrijeme, tome je uvelike pripomogao razvoj tehnologije. Gotovo svakodnevno razvijaju se nove tehnike mjerenja i obrade izmjerenih podataka. Podaci dolaze iz različitih izvora i u različitim formatima. Programsko rješenje razvijeno u sklopu ovog rada objedinjuje više različitih izvora podataka, obrađuje ih, pohranjuje i prikazuje u web-aplikaciji. Svi podaci, odnosno mjerenja sadrže prostornu komponentu što ih čini pogodnima za prikaz na karti. Zbog toga razvijeno rješenje nije obična web-aplikacija nego spada i u domenu GIS sustava. Rad opisuje cijeli postupak izrade programskog rješenja, od dohvata, obrade i pohrane podataka, preko izrade različitih komponenti web-aplikacije, do samog načina prikaza podataka korisniku na web-stranici.

Abstract (english)

From the very beginnings of human civilization, agriculture is one of the oldest and most important human activities. The goal is always to get as much yield as possible, but also with the best possible quality. This is influenced by many factors, mainly climate ones. Over time, humans have learned to observe the climate and adapt to it. In recent times, the development of technology has greatly contributed to this. New techniques for measuring and processing measured data are being developed almost every day. Data comes from different sources and in different formats. The software solution developed as part of this project combines several different data sources, processes them, stores and displays them in a web application. All measurements contain a spatial component which makes them suitable for displaying on a map. Therefore, this software solution is not an ordinary web application, but also belongs to the domain of GIS systems. The document describes the entire process of creating this software solution. From fetching, processing and storing data, through implementation of various components of the web application, to displaying data to the user on the web page.

• Keywords: Copernicus; Climate Data Store; DHMZ; QGIS; GIS; PostgreSQL; PostGIS; Java; Leaflet; HTML; CSS; JavaScript; Ajax; Bootstrap; pametna poljoprivreda; vremenski uvjeti; web-aplikacija; statistika; prikaz podataka u grafovima; Sentinel HUB
• Keywords (english): Copernicus; Climate Data Store; DHMZ; QGIS; GIS; PostgreSQL; PostGIS; Java; Leaflet; HTML; CSS; JavaScript; Ajax; Bootstrap; smart agriculture; weather conditions; web-application; statistics; charts; Sentinel HUB
• Language: croatian
• URN:NBN: urn:nbn:hr:168:689273
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 15:39:11