Fast Analysis of Maize Kernel Plumpness ...
Type de document :
Communication dans un congrès avec actes
Titre :
Fast Analysis of Maize Kernel Plumpness Characteristics Through Micro-CT Technology
Auteur(s) :
Shao, Meng [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Zhang, Ying [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Du, Jianjun [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Pan, Xiaodi [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Ma, Liming [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Wang, Jinglu [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Böhmer, Dennis [Auteur]
Universität Bonn = University of Bonn
Guo, Xinyu [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Zhang, Ying [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Du, Jianjun [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Pan, Xiaodi [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Ma, Liming [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Wang, Jinglu [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Böhmer, Dennis [Auteur]
Universität Bonn = University of Bonn
Guo, Xinyu [Auteur]
Beijing Key Lab of Digital Plant
National Engineering Research Center for Information Technology in Agriculture [Beijing] [NERCITA]
Beijing Academy of Agriculture and Forestry Sciences
Éditeur(s) ou directeur(s) scientifique(s) :
Daoliang Li
Chunjiang Zhao
Chunjiang Zhao
Titre de la manifestation scientifique :
11th International Conference on Computer and Computing Technologies in Agriculture (CCTA)
Ville :
Jilin
Pays :
Chine
Date de début de la manifestation scientifique :
2017-08-12
Titre de l’ouvrage :
IFIP Advances in Information and Communication Technology
Titre de la revue :
Computer and Computing Technologies in Agriculture XI
Éditeur :
Springer International Publishing
Date de publication :
2019
Mot(s)-clé(s) en anglais :
Micro-CT
Image segmentation
Kernel plumpness
Porosity
Cavity
Image segmentation
Kernel plumpness
Porosity
Cavity
Discipline(s) HAL :
Informatique [cs]
Résumé en anglais : [en]
Maize plumpness believed to reflect yield and quality of maize products. Convenient and accurate methods may help identification of maize quality for produces and germplasm resources for breeding. In this study, the 3D ...
Lire la suite >Maize plumpness believed to reflect yield and quality of maize products. Convenient and accurate methods may help identification of maize quality for produces and germplasm resources for breeding. In this study, the 3D reconstruction of maize kernel based on micro-CT technology was introduced to detect anatomical difference between diverse classes of maize kernel. Void spaces measurements constructed for whole maize (Zea mays L.) kernel gives a more accurate volume measurement for density calculations by means of a package of commercial softwares. Moreover, the ratio of cavity and porosity of the entire kernel were calculated based on the 3D CT images. Kernel density, cavities, porosity, and other phenotypic characteristics were closely related to seed plumpness classification. Compared with previous methods, our method significantly improves the calculation accuracy of kernel volume, cavity and porosity, and which is expected to be useful for efficient maize kernel plumpness classification.Lire moins >
Lire la suite >Maize plumpness believed to reflect yield and quality of maize products. Convenient and accurate methods may help identification of maize quality for produces and germplasm resources for breeding. In this study, the 3D reconstruction of maize kernel based on micro-CT technology was introduced to detect anatomical difference between diverse classes of maize kernel. Void spaces measurements constructed for whole maize (Zea mays L.) kernel gives a more accurate volume measurement for density calculations by means of a package of commercial softwares. Moreover, the ratio of cavity and porosity of the entire kernel were calculated based on the 3D CT images. Kernel density, cavities, porosity, and other phenotypic characteristics were closely related to seed plumpness classification. Compared with previous methods, our method significantly improves the calculation accuracy of kernel volume, cavity and porosity, and which is expected to be useful for efficient maize kernel plumpness classification.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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