{"title":"Phenotyping system for precise monitoring of potato crops during growth","authors":"Stephen Njehia NJANE, Shogo TSUDA, Ryo SUGIURA, Kenji KATAYAMA, Kazuhisa GOTO, Shinori TSUCHIYA, Hiroyuki TSUJI","doi":"10.37221/eaef.16.1_24","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering in Agriculture, Environment and Food","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37221/eaef.16.1_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
Engineering in Agriculture, Environment and Food (EAEF) is devoted to the advancement and dissemination of scientific and technical knowledge concerning agricultural machinery, tillage, terramechanics, precision farming, agricultural instrumentation, sensors, bio-robotics, systems automation, processing of agricultural products and foods, quality evaluation and food safety, waste treatment and management, environmental control, energy utilization agricultural systems engineering, bio-informatics, computer simulation, computational mechanics, farm work systems and mechanized cropping. It is an international English E-journal published and distributed by the Asian Agricultural and Biological Engineering Association (AABEA). Authors should submit the manuscript file written by MS Word through a web site. The manuscript must be approved by the author''s organization prior to submission if required. Contact the societies which you belong to, if you have any question on manuscript submission or on the Journal EAEF.
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