Zobrazeno 1 - 10
of 41
pro vyhledávání: '"3d phenotyping"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Recent advancements in digital phenotypic analysis have revolutionized the morphological analysis of crops, offering new insights into genetic trait expressions. This manuscript presents a novel 3D phenotyping pipeline utilizing the cutting-edge Neur
Externí odkaz:
https://doaj.org/article/22e0d08e1a344d8891f325e94539663d
Autor:
Liangxing Guo, Hongbo Chao, Yongtai Yin, Huaixin Li, Hao Wang, Weiguo Zhao, Dalin Hou, Libin Zhang, Chunyu Zhang, Maoteng Li
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 16, Iss 1, Pp 1-23 (2023)
Abstract Background Increasing seed oil content is the most important breeding goal in Brassica napus, and phenotyping is crucial to dissect its genetic basis in crops. To date, QTL mapping for oil content has been based on whole seeds, and the lipid
Externí odkaz:
https://doaj.org/article/103fc65f85654436aae1818b865e830a
Autor:
HU Songtao, ZHAI Ruifang, WANG Yinghua, LIU Zhi, ZHU Jianzhong, REN He, YANG Wanneng, SONG Peng
Publikováno v:
智慧农业, Vol 5, Iss 1, Pp 132-145 (2023)
Crops have diverse structures and complex growth environments. RGB image data can reflect the texture and color features of plants accurately, while 3D data contains information about crop volume. The combination of RGB image and 3D point cloud data
Externí odkaz:
https://doaj.org/article/ee3d9c502b7e4c9faebd772cefad94da
Publikováno v:
智慧农业, Vol 3, Iss 1, Pp 51-62 (2021)
To cope with the challenges posed by the rapid growth of world population and global environmental changes, scholars should employ genetic and phenotypic analyses to breed crop varieties with improved responses to limited resource environments and so
Externí odkaz:
https://doaj.org/article/d081c8cf1c274dc0b7dd44aee25db7af
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Confocal imaging is a well-established method for investigating plant phenotypes on the tissue and organ level. However, many differences are difficult to assess by visual inspection and researchers rely extensively on ad hoc manual quantification te
Externí odkaz:
https://doaj.org/article/d6c081c6f6e940ea806dd34490a8fc5c
Publikováno v:
Plants, Vol 12, Iss 3, p 483 (2023)
Unmanned ground vehicles (UGV) have attracted much attention in crop phenotype monitoring due to their lightweight and flexibility. This paper describes a new UGV equipped with an electric slide rail and point cloud high-throughput acquisition and ph
Externí odkaz:
https://doaj.org/article/7b19018c4eae4fbb83cec91f350c91d3
Publikováno v:
Agronomy, Vol 12, Iss 8, p 1865 (2022)
Manual phenotyping of tomato plants is time consuming and labor intensive. Due to the lack of low-cost and open-access 3D phenotyping tools, the dynamic 3D growth of tomato plants during all growth stages has not been fully explored. In this study, b
Externí odkaz:
https://doaj.org/article/b75cf8eb03ea4b9fa3711aa728865e44
Akademický článek
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Autor:
Riccardo Rossi, Claudio Leolini, Sergi Costafreda-Aumedes, Luisa Leolini, Marco Bindi, Alessandro Zaldei, Marco Moriondo
Publikováno v:
Sensors, Vol 20, Iss 11, p 3150 (2020)
This study aims to test the performances of a low-cost and automatic phenotyping platform, consisting of a Red-Green-Blue (RGB) commercial camera scanning objects on rotating plates and the reconstruction of main plant phenotypic traits via the struc
Externí odkaz:
https://doaj.org/article/879254c4567147a78333af6e35b30a43
Akademický článek
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