20.500.12556/DKUM-89890 Možnost nadgradnje adaptivnega sistema za nanosa fitofarmacevtskih sredstev v sadovnjakih jablan s pomočjo kamere Intel RealSense D435if diplomsko delo Upgrade possibility to an adaptive system for plant protection product application in apple orchards with the use of an Intel RealSense D435if camera Fitofarmacevtska sredstva (v nadaljevanju FFS) so pripravki, ki se uporabljajo v kmetijstvu z namenom varstva rastlin in pridelkov pred škodljivci, pozročitelji bolezni in plevelom. Uporaba FFS in njihovi potencialni negativni učinki na okolje so dandanes zelo odmevni, vendar si zadostne pridelave kmetijskih rastlin ne moremo predstavljati brez njihove uporabe, zato je potrebno več pozornosti nameniti obvladovanju oziroma nadziranju njihove rabe. V sadovnjaku jablan smo izvedli poskus s pomočjo kamere Intel Realsense, ki je osnova nadgradnje osnovnega adaptivnega sistema za nanos FFS, ki deluje na principu elektromagnetnih ventilov na pršilniku. Sistem je bil zasnovan in preizkušen v projektu TRANSFARM 4.0 na Katedri za biosistemsko inženirstvo na Fakulteti za kmetijstvo in biosistemske vede. Cilj diplomske naloge je proučiti možnost nadgradnje tega sistema z uporabo kamere Intel Realsense D435if, s katero bomo lahko izračunali približek prihranka FFS v sadovnjaku v primerjavi z osnovnim adaptivnim sistemom. Ugotoviti želimo, ali se uporaba te kamere obrestuje, saj je cenovno 5-krat ugodnejša od sistema LiDAR, ki se uporablja pri osnovnem adaptivnem sistemu. Poskus je bil opravljen na delu sadovnjaka, ki je segal 20 m v dolžino in 3 m v širino. Opravljenih je bilo 19 posnetkov krošenj, kjer je bila razdalja med kamero in krošnjami 2 m. Glavna ugotovitev je nakazala potencialni prihranek fitofarmacevtskih sredstev v obsegu 10 odstotkov. Uporaba kamere se je torej izkazala kot učinkovita in predstavlja pomemben korak v razvoju natančnejšega nanosa FFS, kar prinaša kmetom prihranek tako pri uporabi FFS kot pri nakupu tehnologije. Pesticides (often abbreviated as FFS) are substances used in agriculture to protect plants and crops from pests, diseases, and weeds. The use of pesticides and their potential negative effects on the environment are widely discussed today. However, adequate agricultural production is difficult to imagine without their use, so it is essential to focus on better management and the monitoring of their application. An experiment was conducted in an apple orchard, using an Intel RealSense camera. This camera is part of an upgraded adaptive system for applying pesticides, which operates based on electromagnetic valves on the sprayer. This system was designed and tested in the TRANSFARM 4.0 project at the Department of Biosystems Engineering at the Faculty of Agriculture and Life Sciences. The goal of the thesis is to enhance this system with the Intel RealSense D435i camera, which will help estimate the potential savings in pesticide use in the orchard compared to the basic adaptive system. The aim is to determine if using this camera is cost-effective, as it is five times cheaper than the LiDAR system used in the basic adaptive system. The experiment was conducted over a 20-meter length and a 3-meter width ofthe orchard row. We took 19 images of the tree canopies with the camera positioned 2 meters from the canopy. The main finding was that the potential savings in pesticide use were around 10%. Thus, using the camera proved to be effective, representing a significant step forward in developing more precise pesticide application, which offers farmers greater savings both in pesticide costs and technology investments. sadovnjak kamera fitofarmacevtska sredstva adaptivni sistem orchard camera plant protection products adaptive system true true false N. Urnaut Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-08-16 15:16:52 2024-09-11 09:28:48 2024-09-12 03:30:31 0000-00-00 00:00:00 2024 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VIII, 26 str., 3 str. pril.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 634.047:681.772:681.513:632.95(043.2)=163.6 207070723 VS_Urnaut_Nusa_2024.pdf VS_Urnaut_Nusa_2024.pdf 1 C894C6C2FC0F97E2E45ED4BCEF73E947 375fc2d353d5472de5718be8ad357ff48569b0c9185e3f21e53f9a4b927045b3 33d388af-5bd5-11ef-acc3-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=182525 Fakulteta za kmetijstvo in biosistemske vede 0 0 0