Miran Lakota
University of Maribor
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Publication
Featured researches published by Miran Lakota.
Computers and Electronics in Agriculture | 2004
Denis Stajnko; Miran Lakota; Marko Hočevar
Abstract A new method for estimating the number of apple fruits and measuring their diameter in the orchard was developed and tested. A thermal camera captured images of apple trees five times during the vegetation period June–September 2001. Each time 120 images of twenty apple trees were recorded late in the afternoon to achieve a temperature gradient between fruits and their background. Recorded images were processed using several image processing algorithms. Correlation coefficients R 2 from 0.83 to 0.88 were established between the manually measured fruit number and the estimated number based on a fruit detection algorithm. According to fruit development and the established growing curve, the value of the correlation coefficient, R 2 , increased during the ripening period. For measuring the fruits diameter values of R 2 between 0.68 and 0.70 were established. These slightly increased according to the fruits colour and size development during the ripening period.
Sensors | 2012
Denis Stajnko; Peter Berk; Mario Lešnik; Viktor Jejčič; Miran Lakota; Andrej Štrancar; Marko Hočevar; Jurij Rakun
This research demonstrates the basic elements of a prototype automated orchard sprayer which delivers pesticide spray selectively with respect to the characteristics of the targets. The density of an apple tree canopy was detected by PROWAVE 400EP250 ultrasound sensors controlled by a Cypress PSOC CY8C29466 microcontroller. The ultrasound signal was processed with an embedded computer built around a LPC1343 microcontroller and fed in real time to electro-magnetic valves which open/close spraying nozzles in relation to the canopy structure. The analysis focuses on the detection of appropriate thresholds on 15 cm ultrasound bands, which correspond to maximal response to tree density, and this was selected for accurate spraying guidance. Evaluation of the system was performed in an apple orchard by detecting deposits of tartrazine dye (TD) on apple leaves. The employment of programmable microcontrollers and electro-magnetic valves decreased the amount of spray delivered by up to 48.15%. In contrast, the reduction of TD was only up to 37.7% at some positions within the tree crown and 65.1% in the gaps between trees. For all these reasons, this concept of precise orchard spraying can contribute to a reduction of costs and environmental pollution, while obtaining similar or even better leaf deposits.
Polish Journal of Environmental Studies | 2012
P. Vindis; Denis Stajnko; Peter Berk; Miran Lakota
Strojarstvo : časopis za teoriju i praksu u strojarstvu | 2009
Miran Lakota; Denis Stajnko
Polish Journal of Environmental Studies | 2018
Matjaž Ošlaj; Tadeja Kraner Šumenjak; Miran Lakota; P. Vindis
VII South-Eastern Europe Syposium on Vegetables & Potatoes | 2017
Denis Stajnko; Martina Bavec; Miran Lakota
Polish Journal of Environmental Studies | 2016
Denis Stajnko; Michael Narodoslawsky; Miran Lakota
Archive | 2016
P. Vindis; Denis Stajnko; Miran Lakota; Damijan Kelc
Archive | 2016
Peter Lepej; Miran Lakota; Jurij Rakun
Archive | 2016
Denis Stajnko; Peter Berk; P. Vindis; Miran Lakota