Pametni sobni rastlinjak za pridelavo mikrozelenja

diplomsko delo

Gregor Caf (Author), Aleš Holobar (Mentor)

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;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2021
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[G. Caf]
UDC:	[004.3/.4+681.586]:631.234(043.2)
COBISS:	72327427
Views:	649
Downloads:	258
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Smart microgreen grow box for home use
Secondary 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.
Secondary keywords:	grow box;microgreen;internet of things;Raspberry Pi;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	XII, 43 str.
ID:	13049772