Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1038899

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


Varga, Filip; Vidak, Monika; Ivanović, Ksenija; Lazarević, Boris; Širić, Ivan; Srečec, Siniša; Šatović, Zlatko; Carović- Stanko, Klaudija
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 (2019), 4; 1169-1178 doi:10.5513/JCEA01/20.4.2509 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1038899 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Varga, Filip ; Vidak, Monika ; Ivanović, Ksenija ; Lazarević, Boris ; Širić, Ivan ; Srečec, Siniša ; Šatović, Zlatko ; Carović- Stanko, Klaudija

Izvornik
Journal of central European agriculture (1332-9049) 20 (2019), 4; 1169-1178

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
colorimetry ; common bean ; Computer vision ; landrace

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%.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti, Poljoprivreda (agronomija), Biotehnologija



POVEZANOST RADA


Ustanove:
Visoko gospodarsko učilište, Križevci,
Agronomski fakultet, Zagreb

Citiraj ovu publikaciju

Varga, Filip; Vidak, Monika; Ivanović, Ksenija; Lazarević, Boris; Širić, Ivan; Srečec, Siniša; Šatović, Zlatko; Carović- Stanko, Klaudija
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 (2019), 4; 1169-1178 doi:10.5513/JCEA01/20.4.2509 (međunarodna recenzija, članak, znanstveni)
Varga, F., Vidak, M., Ivanović, K., Lazarević, B., Širić, I., Srečec, S., Šatović, Z. & 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 doi:10.5513/JCEA01/20.4.2509.
@article{article, year = {2019}, pages = {1169-1178}, DOI = {10.5513/JCEA01/20.4.2509}, keywords = {colorimetry, common bean, Computer vision, landrace}, journal = {Journal of central European agriculture}, doi = {10.5513/JCEA01/20.4.2509}, volume = {20}, number = {4}, issn = {1332-9049}, title = {How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?}, keyword = {colorimetry, common bean, Computer vision, landrace} }
@article{article, year = {2019}, pages = {1169-1178}, DOI = {10.5513/JCEA01/20.4.2509}, keywords = {colorimetry, common bean, Computer vision, landrace}, journal = {Journal of central European agriculture}, doi = {10.5513/JCEA01/20.4.2509}, volume = {20}, number = {4}, issn = {1332-9049}, title = {How does Computer vision compare to standard colorimeter in assessing the seed coat color of common bean (Phaseolus vulgaris L.)?}, keyword = {colorimetry, common bean, Computer vision, landrace} }

Citati





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font