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master's thesis
Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:475142
Tišma, Petar
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Tišma, P. (2022). Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:475142

Tišma, Petar. "Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:475142

Tišma, Petar. "Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:475142

Tišma, P. (2022). 'Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:475142

Tišma P. Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:475142

P. Tišma, "Programski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:475142

Metadata
TitleProgramski sustav za simulaciju modela predviđanja prinosa usjeva u stvarnom vremenu
Title (english)Software system for simulation of real-time crop yield prediction model
AuthorPetar Tišma
MentorGordan Ježić (mentor)
Committee memberGordan Ježić (predsjednik povjerenstva)
Committee memberMario Kušek (član povjerenstva)
Committee memberKrunoslav Tržec (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Modeli predviđanja usjeva primjenjuju se za optimizaciju aktivnosti radi što većeg prinosa kulture u poljoprivredi. Učinkoviti su u procjeni učinka količine i vremena primjene različitih vrsta gnojiva na prinos usjeva. Istraženi su simulatori prinosa usjeva ApsimX i DSSAT od kojih je ApsimX izabran kao simulator koji će se integrirati u programsko rješenje. U sklopu ovog rada implementiran je programski sustav koji prati REST arhitekturni stil unutar kojeg se integrirala izgrađena CLI verzija ApsimX-a. Za razvijanje programskog sustava odabran je programski jezik Go zbog svoje odlične podrške za konkurentnost te baze podataka InfluxDB i SQLite. Također, razvijena je i mobilna aplikacija koristeći tehnologije React Native, React Navigation te Redux. Nakon što poslužitelj primi podatke koje je korisnik poslao s mobilne aplikacije te ako se ne nađu među nedavno traženim rezultatima u priručnoj memoriji, programski sustav pokreće simulacijski model predviđanja usjeva. Nakon izvršavanja simulacije, klijent prima nove podatke te ih prikazuje na korisničkom zaslonu.
Abstract (english)
Crop prediction models are applied to optimize activities to maximize crop yields in agriculture. They effectively assess the effect of the amount and timing of application of different fertilizers on crop yields. ApsimX and DSSAT crop yield simulators were investigated, of which ApsimX was chosen as the simulator to be integrated into the software solution. As part of this paper, a software system that follows the REST architectural style was implemented, within which the built CLI version of ApsimX was integrated. The Go programming language was chosen for the development of the software system due to its excellent support for concurrency together with the InfluxDB and SQLite databases. Also, a mobile application was developed using React Native, React Navigation, and Redux technologies. After the server receives the data sent by the user from the mobile application, and if they are not among the recently requested results in the cache memory, the software system runs a simulation model of crop prediction. After performing the simulation, the client receives the new data and displays it on the user screen.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:475142
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2023-01-13 16:23:22