20.500.12556/RUL-175431 Avtomatiziran sistem IoT za pridelavo solate Automatic IoT system for lettuce production Eden ključnih izzivov preciznega kmetijstva je razvoj avtomatiziranih sistemov, ki bi omogočali zanesljivo pridelavo v naravnih pogojih, kjer na rast rastlin vpliva širok nabor težko nadzorovanih dejavnikov, kot so podnebje, kakovost tal in padavine. V okviru magistrske naloge je bil razvit pametni sistem IoT za avtomatizirano namakanje solate, gojene v tleh. Sistem združuje matematični model evapotranspiracije z meritvami senzorjev talne vlage ter podatki o padavinah. Pomemben prispevek naloge je tudi razvoj standardiziranega modela za vrednotenje učinkovitosti sistema. Obstoječe metode v raziskavah so namreč pogosto pomanjkljivo ovrednotene, kar otežuje primerjavo rezultatov in prenos ugotovitev v prakso. Eksperimentalna primerjava s komercialno rešitvijo in kontrolno skupino je pokazala primerljivo rast solatnih sadik ob bistveno manjši porabi vode. Raziskava tako dokazuje praktično uporabnost razvitega sistema in hkrati ponuja metodološki okvir za prihodnje vrednotenje podobnih rešitev IoT v preciznem kmetijstvu. One of the key challenges of precision agriculture is the development of automated systems that would enable reliable production in natural conditions, where plant growth is affected by a wide range of difficult to control factors such as climate, soil quality and precipitation. As part of the master's thesis, a smart IoT system for automated irrigation of lettuce in soil was developed. The system combines a mathematical evapotranspiration model with soil moisture sensor measurements and precipitation data. An important contribution of the thesis is also the development of a standardized model for evaluating the effectiveness of the system. Existing methods in research papers are often poorly evaluated, which makes it difficult to compare results and transfer findings into practice. An experimental comparison with a commercial solution and a control group showed comparable growth of lettuce with significantly lower water consumption. The research thus demonstrates the practical applicability of the developed system and at the same time offers a methodological framework for future evaluation of similar IoT solutions in precision agriculture. internet stvari pametno kmetovanje precizno kmetijstvo internet of things smart farming precision agriculture true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-10-27 10:45:30 2025-10-27 10:45:36 2025-12-10 03:58:01 0000-00-00 00:00:00 2025 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 37776 255953923 Domadenik_Tjasa_-_Avtomatiziran_sistem_IoT_za_pridelavo_solate.pdf Domadenik_Tjasa_-_Avtomatiziran_sistem_IoT_za_pridelavo_solate.pdf 1 DB12801693F74866782624AE35ED23BD b6c15d2b68c9caca5764a60c1d10ca85d2b51ac933247b217bb3b62f2d4c9a8b 6533b8cf-b319-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=220965 Fakulteta za računalništvo in informatiko 0 0 0