Engineering in Agriculture, Environment and Food
Online ISSN : 1881-8366
ISSN-L : 1881-8366
Phenotyping system for precise monitoring of potato crops during growth
Stephen Njehia NJANE Shogo TSUDARyo SUGIURAKenji KATAYAMAKazuhisa GOTOShinori TSUCHIYAHiroyuki TSUJI
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ジャーナル オープンアクセス

2023 年 16 巻 1 号 p. 24-36

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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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© 2023 Asian Agricultural and Biological Engineering Association

この記事はクリエイティブ・コモンズ [表示 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by/4.0/deed.ja
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