{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:20:28Z","timestamp":1777396828298,"version":"3.51.4"},"reference-count":56,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,14]],"date-time":"2020-01-14T00:00:00Z","timestamp":1578960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science and Technology projects from Inner Mongolia","award":["IM-2019"],"award-info":[{"award-number":["IM-2019"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Sugar beet is one of the main crops for sugar production in the world. With the increasing demand for sugar, more desirable sugar beet genotypes need to be cultivated through plant breeding programs. Precise plant phenotyping in the field still remains challenge. In this study, structure from motion (SFM) approach was used to reconstruct a three-dimensional (3D) model for sugar beets from 20 genotypes at three growth stages in the field. An automatic data processing pipeline was developed to process point clouds of sugar beet including preprocessing, coordinates correction, filtering and segmentation of point cloud of individual plant. Phenotypic traits were also automatically extracted regarding plant height, maximum canopy area, convex hull volume, total leaf area and individual leaf length. Total leaf area and convex hull volume were adopted to explore the relationship with biomass. The results showed that high correlations between measured and estimated values with R2 &gt; 0.8. Statistical analyses between biomass and extracted traits proved that both convex hull volume and total leaf area can predict biomass well. The proposed pipeline can estimate sugar beet traits precisely in the field and provide a basis for sugar beet breeding.<\/jats:p>","DOI":"10.3390\/rs12020269","type":"journal-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T03:20:22Z","timestamp":1579058422000},"page":"269","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["Image-Based Dynamic Quantification of Aboveground Structure of Sugar Beet in Field"],"prefix":"10.3390","volume":"12","author":[{"given":"Shunfu","family":"Xiao","sequence":"first","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"},{"name":"Inner Mongolia Autonomous Region Biotechnology Research Institute, Huhehaote 010010, China"},{"name":"Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honghong","family":"Chai","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Shao","sequence":"additional","affiliation":[{"name":"Inner Mongolia Autonomous Region Biotechnology Research Institute, Huhehaote 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengyuan","family":"Shen","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruili","family":"Wang","sequence":"additional","affiliation":[{"name":"Inner Mongolia Autonomous Region Biotechnology Research Institute, Huhehaote 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Sui","sequence":"additional","affiliation":[{"name":"Inner Mongolia Autonomous Region Biotechnology Research Institute, Huhehaote 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuntao","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Land Science and Technology, China Agricultural University, Beijing 100193, China"},{"name":"Inner Mongolia Autonomous Region Biotechnology Research Institute, Huhehaote 010010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,14]]},"reference":[{"key":"ref_1","first-page":"120","article-title":"Effect of the bioorganic fertilizers on sugar beet productivity increase Cukriniu runkeliu produktyvumo optimizavimo tyrimai naudojant bioorganines trasas","volume":"21","author":"Jakiene","year":"2014","journal-title":"Zemes ukio Mokslai"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3063","DOI":"10.1007\/s00122-019-03406-0","article-title":"Discovery of interesting new polymorphisms in a sugar beet (elite \u00d7 exotic) progeny by comparison with an elite panel","volume":"132","author":"Guillaume","year":"2019","journal-title":"Theor. 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