Phenotyping system for precise monitoring of potato crops during growth
A phenotyping system was developed for monitoring the growth of 3 Japanese and 5 European varieties of potatoes. From the UAV images taken weekly, plant height, volume and vegetation indices were estimated from the DSM and the reflectance maps. UAV-estimated volume and manually measured plant height...
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Veröffentlicht in: | Engineering in Agriculture, Environment and Food Environment and Food, 2023, Vol.16(1), pp.24-36 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A phenotyping system was developed for monitoring the growth of 3 Japanese and 5 European varieties of potatoes. From the UAV images taken weekly, plant height, volume and vegetation indices were estimated from the DSM and the reflectance maps. UAV-estimated volume and manually measured plant height had a high correlation with a coefficient of determination R2 of 0.70. UAV estimated NDVI was highly correlated with the manually measured NDVI (correlation coefficient of R = 0.97). European varieties such as Euroviva had a higher volume compared to the Japanese varieties such as Irish cobbler and Toyoshiro. Volume and LCI were found to be highly correlated with the yield ( R2 of 0.99 and 0.96) thus ideal parameters for yield prediction. |
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ISSN: | 1881-8366 1881-8366 |
DOI: | 10.37221/eaef.16.1_24 |