Model-based Assessment of Manual Raspberry Harvesting Efficiency Using the CIOSTA Methodology in Tunnel-Grown Production Systems
Authors
dariusz.kwasniewski@urk.edu.pl
Department of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, Krakow, Poland
Department of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, Krakow, Poland
Faculty of Technical Sciences and Design Arts, National Academy of Applied Sciences in Przemyśl, Przemyśl
urszula.malaga-tobola@urk.edu.pl
Department of Production Engineering, Logistics and Applied Computer Science, University of Agriculture in Krakow, Krakow, Poland
Department of Food and Agriculture Production Engineering, Faculty of Technology and Life Sciences, University of Rzeszow, Rzeszów, Poland
Department of Soil Science, Environmental Chemistry and Hydrology, Faculty of Technology and Life Sciences, University of Rzeszów, Rzeszów, Poland
Department of Chemistry and Food Toxicology, Faculty of Technology and Life Sciences, University of Rzeszow, Rzeszów, Poland
DOI: https://doi.org/10.2478/agriceng-2025-0019 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
Language: English
Page range: 327 - 346
Submitted on: Aug 1, 2025
Accepted on: Oct 1, 2025
Published on: Dec 15, 2025
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2025 Dariusz Kwaśniewski, Maciej Kuboń, Urszula Malaga-Toboła, Natalia Matłok, Małgorzata Szostak, Maciej Balawajder, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution 4.0 License.