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Abstract: This study explores the feasibility of an automated sensor system for precise plant protection product application in plum orchards, aiming to address issues related to inefficient spraying practices, environmental pollution, and reduced crop quality associated with traditional training systems. The research focuses on detecting tree canopy presence, evaluating electromagnetic valve actuation in different plum training systems, and optimizing plant protection product usage. Sensor-based spraying demonstrates its potential to improve operational efficiency, reduce product losses, and foster environmentally responsible agricultural practices, contributing to the broader field of precision agriculture. For the selected scene, the results show the possibility of a substantial savings of 71.37%, 47.17%, 58.59%, and 55.06% for the One-axis, Bi-axis, UFO, and Combine systems, respectively. Implementing this technology can potentially lead to significant improvements in plum orchard operations while minimizing the industry’s ecological impact on the environment.
Keywords: sensors, spraying application control, target-oriented spray, plum orchard, training systems
Published in DKUM: 08.08.2025; Views: 0; Downloads: 1
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Abstract: Optimal planting speed of vacuum maize planters is usually suggested by planter’s manufacturers, while increased planting speed may influence plant spacing and finally yield. Our hypothesis was that by increasing planting speed over the suggested level plant spacing variability will also increase which will result in decrease of silage and grain yield and saving of seed and energy. The field trial consisted of three planting speeds of 7, 9 and 11 km/h in the form of random blocks. The following measurements were taken as follows: plant spacing, silage and grain yield, fuel and energy use at planting. Results in this study show that planting speed did not have significant influence on silage and grain yield of maize, while up to 10% less seed was needed per hectare and fuel and energy use was lower for 15%. By the increase of planting speed the distance between the plants in a row, and in most cases also the plant spacing variability increased. It was noticed that by increasing planting speed plant density decreased. This research established that at higher planting speeds significant increase of the silage yield per individual plant and of the grain yield per individual plant was achieved. The ear parameters also show that the kernel mass per individual ear, the ear mass, and the cob mass, as well as the individual kernel mass, are larger at the planting speed of 11 km/h than at the planting speed of 7 km/h. At the latter planting speed, significantly higher fuel consumption per hectare and higher energy use was achieved than at the other two planting speeds. Overall the main benefits of planting speed of 11 km/h is saving seed and energy at planting while maintaning the same level of silage and grain yield compared to lower planting speeds used in the trial.
Keywords: energy use, grain yield, maize, planting speed, plant spacing, seed savings, silage yield, vacuum planter
Published in DKUM: 11.03.2025; Views: 0; Downloads: 8
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Abstract: Magistrsko delo opisuje delovanje algoritma avtonomne navigacije robota FarmBeast, ki je namenjen avtomatizaciji različnih kmetijskih opravil, sekundarno pa tudi za tekmovanje Field Robot Event v sklopu panoge osnovne in napredne navigacije. Za delovanje so uporabljeni napredni senzorji, kot sta LiDAR in IMU, pri čemer se podatki filtrirajo in transformirajo z namenom natančnejše zaznave podatkov o okolici robota. Ob tem je za potrebe obračanja implementirana uporaba kvaternionov, kar pripomore k večji natančnosti in robustnosti delovanja. Testiranja, na podlagi primerjave s predhodno verzijo algoritma, so pokazala znatno izboljšanje hitrosti in večjo natančnost vožnje ter izrazito zmanjšanje poškodovanih rastlin. Meritve potrjujejo, da je novo razviti algoritem bolj učinkovit in bolj zanesljiv v primerjavi s predhodno verzijo.
Keywords: FarmBeast robot, avtonomna navigacija, kmetijska avtomatizacija, optimizacija algoritma
Published in DKUM: 03.10.2024; Views: 0; Downloads: 53
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Abstract: Diplomsko delo temelji na uporabi sistema Wordpress, ki je sistem za upravljanje vsebin (CMS). Glavni cilj diplomskega dela je izdelati spletno platformo, kjer bodo predstavljena kmetijska gospodarstva v Sloveniji znotraj interaktivnega zemljevida z namenom promoviranja in podpiranja slovenskih kmetijskih gospodarstev ter s tem omogočiti promoviranje in prodajo njihovih pridelkov in izdelkov širši javnosti. Pridobljene podatke o kmetijskih gospodarstvih, predstavljene s sistemom Wordpress, smo pridobili z opravljeno raziskavo znotraj našega diplomskega dela. Raziskava je strukturirana v dva ključna dela. Prvi del vključuje anketiranje udeležencev glede na njihovo kmetijsko prakso, osredotoča se na primarno kmetijsko dejavnost, način kmetovanja ter vrste pridelkov in izdelkov. V drugem delu raziskave se posvečamo vprašanjem o poznavanju in potencialnih možnostih uporabe informacijsko–komunikacijskih tehnologij (IKT). Pridobljene rezultate smo predstavili s sistemom CMS (Wordpress), kjer smo ne le analizirali rezultate, temveč tudi ustvarili geografsko predstavitev anketiranih kmetijskih gospodarstev v obliki interaktivnega zemljevida. Ta zemljevid obsega kratek opis vsakega gospodarstva, ki dopolnjuje podatke, predstavljene v analizi rezultatov. S takšnim pristopom k diplomskemu delu bomo omogočili celovit vpogled v kmetijska gospodarstva, njihove prakse in možnosti za implementacijo informacijsko-komunikacijskih tehnologij. Hkrati bo uporaba sistema CMS pripomogla k jasni in pregledni predstavitvi pridobljenih podatkov ter geografskih informacij, kar bo olajšalo razumevanje in interpretacijo rezultatov raziskave.
Keywords: sistemi za upravljanje vsebin (CMS), Wordpress, informacijsko komunikacijske tehnologije (IKT), kmetijska gospodarstva
Published in DKUM: 04.09.2024; Views: 45; Downloads: 35
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Abstract: Precision agriculture (PA) through the use and utilization of innovative technologies is a concept in agricultural management that enables long-term efficiency gains, control of unforeseen changes, and a reduction of negative impacts on the environment. However, there are even more reasons and benefits to using precision agriculture technologies (PATs) on farms, but the actual use on small farms is often questionable. The main objective of this research was to evaluate and analyze the current state of PA and its potential on a set of small farms. In addition, a comparison was made between small farms located in less favored areas (LFAs) and more favored areas (MFAs) to find if specific characteristics of the surrounding environment affect the (non-) implementation of these technologies by farm owners, with respect to the given regional possibilities. The result shows that 57.5% of respondents on these farms have never implemented PATs before and 20% are beginners in their respective fields. It was found that there were no statistically significant differences in the integration between fewer LFAs and MFAs technologies and their use in this study. The majority of respondents believe that the main changes need to occur on the level of politics. The results show that the level of cost or initial investment is the main reason and the main obstacle in the implementation of PATs on the surveyed farms.
Keywords: precision agriculture, small farm, technological innovations, implementation, situation overview, survey, ICT
Published in DKUM: 02.07.2024; Views: 161; Downloads: 24
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