Your browser doesn't support javascript.
loading
A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling-A Case Study in Leaf Lettuce.
Wada, Kaede C; Hayashi, Atsushi; Lee, Unseok; Tanabata, Takanari; Isobe, Sachiko; Itoh, Hironori; Maeda, Hideki; Fujisako, Satoshi; Kochi, Nobuo.
Affiliation
  • Wada KC; Breeding Big Data Management and Utilization Group, Division of Smart Breeding Research, Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba 305-0856, Japan.
  • Hayashi A; Research Center for Agricultural Robotics, Core Technology Research Headquarters, NARO, Tsukuba 305-0856, Japan.
  • Lee U; Research Center for Agricultural Robotics, Core Technology Research Headquarters, NARO, Tsukuba 305-0856, Japan.
  • Tanabata T; Department of Frontier Research Plant Genomics and Genetics, Kazusa DNA Research Institute, Kisarazu 292-0818, Japan.
  • Isobe S; Department of Frontier Research Plant Genomics and Genetics, Kazusa DNA Research Institute, Kisarazu 292-0818, Japan.
  • Itoh H; Breeding Big Data Management and Utilization Group, Division of Smart Breeding Research, Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Tsukuba 305-0856, Japan.
  • Maeda H; Center for Seeds and Seedlings, Nishinihon Station (NARO), Kasaoka 714-0054, Japan.
  • Fujisako S; Center for Seeds and Seedlings, Nishinihon Station (NARO), Kasaoka 714-0054, Japan.
  • Kochi N; Research Center for Agricultural Robotics, Core Technology Research Headquarters, NARO, Tsukuba 305-0856, Japan.
Sensors (Basel) ; 23(15)2023 Jul 31.
Article in En | MEDLINE | ID: mdl-37571608
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactuca / Imaging, Three-Dimensional Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Japan
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lactuca / Imaging, Three-Dimensional Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Japan