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https://doi.org/10.5513/JCEA01/20.4.2509

How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?

Filip Varga   ORCID icon orcid.org/0000-0001-7174-8866 ; University of Zagreb, Faculty of Agriculture, Department of Seed Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Monika Vidak ; University of Zagreb, Faculty of Agriculture, Department of Seed Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Ksenija Ivanović ; University of Zagreb, Faculty of Agriculture, Department of Seed Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Boris Lazarević ; University of Zagreb, Faculty of Agriculture, Department of Plant Nutrition, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Ivan Širić ; University of Zagreb, Faculty of Agriculture, Department of Animal Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Siniša Srečec ; Križevci College of Agriculture, Milislava Demerca 4, 48260 Krževci, Croatia
Zlatko Šatović ; University of Zagreb, Faculty of Agriculture, Department of Seed Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia
Klaudija Carović Stanko ; University of Zagreb, Faculty of Agriculture, Department of Seed Science and Technology, Svetošimunska cesta 25, 10000 Zagreb, Croatia

Puni tekst: engleski, pdf (1 MB) str. 1169-1178 preuzimanja: 157* citiraj
APA 6th Edition
Varga, F., Vidak, M., Ivanović, K., Lazarević, B., Širić, I., Srečec, S., ... Carović Stanko, K. (2019). How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?. Journal of Central European Agriculture, 20 (4), 1169-1178. https://doi.org/10.5513/JCEA01/20.4.2509
MLA 8th Edition
Varga, Filip, et al. "How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?." Journal of Central European Agriculture, vol. 20, br. 4, 2019, str. 1169-1178. https://doi.org/10.5513/JCEA01/20.4.2509. Citirano 16.10.2021.
Chicago 17th Edition
Varga, Filip, Monika Vidak, Ksenija Ivanović, Boris Lazarević, Ivan Širić, Siniša Srečec, Zlatko Šatović i Klaudija Carović Stanko. "How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?." Journal of Central European Agriculture 20, br. 4 (2019): 1169-1178. https://doi.org/10.5513/JCEA01/20.4.2509
Harvard
Varga, F., et al. (2019). 'How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?', Journal of Central European Agriculture, 20(4), str. 1169-1178. https://doi.org/10.5513/JCEA01/20.4.2509
Vancouver
Varga F, Vidak M, Ivanović K, Lazarević B, Širić I, Srečec S i sur. How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?. Journal of Central European Agriculture [Internet]. 2019 [pristupljeno 16.10.2021.];20(4):1169-1178. https://doi.org/10.5513/JCEA01/20.4.2509
IEEE
F. Varga, et al., "How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?", Journal of Central European Agriculture, vol.20, br. 4, str. 1169-1178, 2019. [Online]. https://doi.org/10.5513/JCEA01/20.4.2509

Sažetak
Common bean (Phaseolus vulgaris L.) exhibits a wide range of seed coat colors and this morphological trait is widely used in cultivar identification and assessment of diversity within this species. With an advancement in technology and informatics, new methods of assessing seed color are emerging in addition to traditionally used visual observation. Due to a great variety of color measuring techniques, the evaluation of the agreement between methods is needed prior to using the methods interchangeably. Seed coat color in terms of CIE L*a*b* color coordinates of 100 common bean accessions belonging to five mono-colored landraces was assessed using two methods, colorimeter and Computer vision. The percentage difference between the two methods across all samples for L* color coordinate was 5.81%, for a* color coordinate 23.32% and for b* color coordinate 44.44%. According to Bland-Altman difference plot there is a considerable lack of agreement between the two methods. However, using stepwise discriminant analysis revealed that colorimeter method correctly classified 97% of accessions into their respective landrace, while the classification success of the Computer vision was 99%.

Ključne riječi
colorimetry; common bean; Computer vision; landrace

Hrčak ID: 230876

URI
https://hrcak.srce.hr/230876

[hrvatski]

Posjeta: 361 *