Assessment of Selected Parameters of the Automatic Scarification Device as an Example of a Device for Sustainable Forest Management
Ryszard Tadeusiewicz,
Paweł Tylek,
Florian Adamczyk,
Paweł Kiełbasa,
Mirosław Jabłoński,
Zbigniew Bubliński,
Joanna Grabska-Chrząstowska,
Zdzisław Kaliniewicz,
Józef Walczyk,
Jan Szczepaniak,
Tadeusz Juliszewski and
Michał Szaroleta
Additional contact information
Ryszard Tadeusiewicz: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. A. Mickiewicza 30, Kraków 30-059, Poland
Paweł Tylek: Faculty of Forestry, University of Agriculture in Krakow, UR, Al. 29 Listopada 46, Kraków 31-425, Poland
Florian Adamczyk: Industrial Institute of Agricultural Engineering, Przemysłowy Instytut Maszyn Rolniczych, PIMR, ul. Starołęcka 31, Poznan 60-963, Poland
Paweł Kiełbasa: Faculty of Production and Power Engineering, University of Agriculture in Krakow, UR, ul. Balicka 116B, Kraków 30-149, Poland
Mirosław Jabłoński: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. A. Mickiewicza 30, Kraków 30-059, Poland
Zbigniew Bubliński: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. A. Mickiewicza 30, Kraków 30-059, Poland
Joanna Grabska-Chrząstowska: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, Al. A. Mickiewicza 30, Kraków 30-059, Poland
Zdzisław Kaliniewicz: Faculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, UWM, ul. Oczapowskiego 11, Olsztyn 10-719, Poland
Józef Walczyk: Faculty of Forestry, University of Agriculture in Krakow, UR, Al. 29 Listopada 46, Kraków 31-425, Poland
Jan Szczepaniak: Industrial Institute of Agricultural Engineering, Przemysłowy Instytut Maszyn Rolniczych, PIMR, ul. Starołęcka 31, Poznan 60-963, Poland
Tadeusz Juliszewski: Faculty of Production and Power Engineering, University of Agriculture in Krakow, UR, ul. Balicka 116B, Kraków 30-149, Poland
Michał Szaroleta: Industrial Institute of Agricultural Engineering, Przemysłowy Instytut Maszyn Rolniczych, PIMR, ul. Starołęcka 31, Poznan 60-963, Poland
Sustainability, 2017, vol. 9, issue 12, 1-17
Abstract:
Due to technological progress in forestry, seedlings with covered root systems—especially those grown in container nurseries—have become increasingly important in forest nursery production. One the trees that is most commonly grown this way is the common oak ( Quercus robur L.). For an acorn to be sown in a container, it is necessary to remove its upper part during mechanical scarification, and evaluate its sowing suitability. At present, this is mainly done manually and by visual assessment. The low effectiveness of this method of acorn preparation has encouraged a search for unconventional solutions. One of them is the use of an automated device that consists of a computer vision-based module. For economic reasons related to the cost of growing seedlings in container nurseries, it is beneficial to minimize the contribution of unhealthy seeds. The maximum accuracy, which is understood as the number of correct seed diagnoses relative to the total number of seeds being assessed, was adopted as a criterion for choosing a separation threshold. According to the method proposed, the intensity and red components of the images of scarified acorns facilitated the best results in terms of the materials examined during the experiment. On average, a 10% inaccuracy of separation was observed. A secondary outcome of the presented research is an evaluation of the ergonomic parameters of the user interface that is attached to the unit controlling the device when it is running in its autonomous operation mode.
Keywords: acorn; scarification; quality assessment; computer vision system; sowing material (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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