Zobrazeno 1 - 10
of 54
pro vyhledávání: '"field based phenotyping"'
Autor:
Raja Manish, Ayman Habib
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7460-7474 (2024)
Uncrewed aerial vehicles (UAVs) carrying sensors, such as light detection and ranging (LiDAR) and multiband cameras georeferenced by an onboard global navigation satellite system/inertial navigation system (GNSS/INS), have become a popular means to q
Externí odkaz:
https://doaj.org/article/222e117998d7416fa620720fd53f055b
Autor:
Andrew W. Herr, Arron H. Carter
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
In an era of climate change and increased environmental variability, breeders are looking for tools to maintain and increase genetic gain and overall efficiency. In recent years the field of high throughput phenotyping (HTP) has received increased at
Externí odkaz:
https://doaj.org/article/c17823487d89437fa8312295dbfaf89c
Akademický článek
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Akademický článek
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Autor:
Jian Zhang, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of til
Externí odkaz:
https://doaj.org/article/9c2e65fd75064a8582dfe2bd061a0c00
Publikováno v:
Frontiers in Plant Science, Vol 10 (2020)
The ability of a genotype to stay green affects the primary target traits grain yield (GY) and grain protein concentration (GPC) in wheat. High throughput methods to assess senescence dynamics in large field trials will allow for (i) indirect selecti
Externí odkaz:
https://doaj.org/article/4d6443309d5e4a409ddc88ae44d40607
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Hyperspectral remote sensing holds the potential to detect and quantify crop diseases in a rapid and non-invasive manner. Such tools could greatly benefit resistance breeding, but their adoption is hampered by i) a lack of specificity to disease-rela
Externí odkaz:
https://doaj.org/article/3e4b9070b05a4925a98afce8a5729b66
Autor:
Kang Yu, Jonas Anderegg, Alexey Mikaberidze, Petteri Karisto, Fabio Mascher, Bruce A. McDonald, Achim Walter, Andreas Hund
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Producing quantitative and reliable measures of crop disease is essential for resistance breeding, but is challenging and time consuming using traditional phenotyping methods. Hyperspectral remote sensing has shown potential for the detection of plan
Externí odkaz:
https://doaj.org/article/d0dea25edd7c4a15992033ad1b908e63
Publikováno v:
Remote Sensing, Vol 7, Iss 10, Pp 13586-13605 (2015)
There is a growing need for developing high-throughput tools for crop phenotyping that would increase the rate of genetic improvement. In most cases, the indicators used for this purpose are related with canopy structure (often acquired with RGB came
Externí odkaz:
https://doaj.org/article/2ddb19ea014d41dd8a2878415eac0ab9
Akademický článek
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