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Title:Pametni sobni rastlinjak za pridelavo mikrozelenja : diplomsko delo
Authors:ID Caf, Gregor (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf UN_Caf_Gregor_2021.pdf (17,15 MB)
MD5: 83C78D15E22EA330CB0B2FF2B6922CFA
PID: 20.500.12556/dkum/bc6dd33a-bca5-4bd9-8b60-a8e545a47153
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen diplomskega dela je bil razviti sobni rastlinjak za pridelavo mikrozelenja, ki uporabnika začetnika poduči o značilnostih in pogojih, ki so potrebni za rast določene rastline. Sistem uporabnika preko mobilne aplikacije obvešča o trenutnih in predvidenih pogojih rasti za določeno rastlino. Najprej smo predstavili primerjavo z obstoječimi sistemi na trgu in zastavili globalno sliko sistema, nato pa opisali postopek implementacije in integracije celotnega sistema. Sistem je sestavljen iz računalnika Raspberry Pi, senzorjev temperature in vlage zraka ter vlage prsti, LED traku, storitev v oblaku, kjer tečeta strežnik in podatkovna baza, ter mobilne aplikacije.
Keywords:sobni rastlinjak, mikrozelenje, internet stvari, Raspberry Pi
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Caf]
Year of publishing:2021
Number of pages:XII, 43 str.
PID:20.500.12556/DKUM-79366 New window
UDC:[004.3/.4+681.586]:631.234(043.2)
COBISS.SI-ID:72327427 New window
Publication date in DKUM:09.07.2021
Views:1509
Downloads:325
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.06.2021

Secondary language

Language:English
Title:Smart microgreen grow box for home use
Abstract:The aim of the thesis was to develop a grow box for the production of microgreens, which informs the novice user about the characteristics and conditions necessary for the growth of a particular plant. The system notifies the user via a mobile app about the current and expected growing conditions for a specific plant. We first present a comparison with existing systems on the market, a global picture of the system and then describe the implementation and integration process of the whole system. The system consists of a Raspberry Pi computer, air temperature, humidity and soil moisture sensors, an LED strip, a cloud service running the server and database, and a mobile application.
Keywords:grow box, microgreen, internet of things, Raspberry Pi


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