Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Alexis Comar"'
A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images
Autor:
Wenjuan Li, Alexis Comar, Marie Weiss, Sylvain Jay, Gallian Colombeau, Raul Lopez-Lozano, Simon Madec, Frédéric Baret
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Multispectral observations from unmanned aerial vehicles (UAVs) are currently used for precision agriculture and crop phenotyping applications to monitor a series of traits allowing the characterization of the vegetation status. However, the limited
Externí odkaz:
https://doaj.org/article/ba6d4809a846497c85ec86796f9c3b40
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-16 (2018)
Abstract Background Leaf biochemical composition corresponds to traits related to the plant state and its functioning. This study puts the emphasis on the main leaf absorbers: chlorophyll a and b ($$C_{ab}$$ Cab ), carotenoids ($$C_{c}$$ Cc ), water
Externí odkaz:
https://doaj.org/article/2a25c2ccc0f54984a9c2a68197fc80b6
Autor:
Shouyang Liu, Fred Baret, Denis Allard, Xiuliang Jin, Bruno Andrieu, Philippe Burger, Matthieu Hemmerlé, Alexis Comar
Publikováno v:
Plant Methods, Vol 13, Iss 1, Pp 1-11 (2017)
Abstract Background Plant density and its non-uniformity drive the competition among plants as well as with weeds. They need thus to be estimated with small uncertainties accuracy. An optimal sampling method is proposed to estimate the plant density
Externí odkaz:
https://doaj.org/article/617e7f104a6a4191a4a1b372deb91ea0
Autor:
Justin Blancon, Dan Dutartre, Marie-Hélène Tixier, Marie Weiss, Alexis Comar, Sébastien Praud, Frédéric Baret
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
The dynamics of the Green Leaf Area Index (GLAI) is of great interest for numerous applications such as yield prediction and plant breeding. We present a high-throughput model-assisted method for characterizing GLAI dynamics in maize (Zea mays subsp.
Externí odkaz:
https://doaj.org/article/13694ba6192f444bab9c30941a562195
Publikováno v:
Plant Phenomics, Vol 2019 (2019)
Total above-ground biomass at harvest and ear density are two important traits that characterize wheat genotypes. Two experiments were carried out in two different sites where several genotypes were grown under contrasted irrigation and nitrogen trea
Externí odkaz:
https://doaj.org/article/86e956f065cd4c6c97af4e4e0f40f003
Autor:
Simon Madec, Fred Baret, Benoît de Solan, Samuel Thomas, Dan Dutartre, Stéphane Jezequel, Matthieu Hemmerlé, Gallian Colombeau, Alexis Comar
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was con
Externí odkaz:
https://doaj.org/article/539dfb864da94ff0925326a9e6f531b0
Akademický článek
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Autor:
Joss Gillet, Frédéric Baret, Alexis Comar, Simon Madec, Wei Guo, Raúl López-Lozano, Kaaviya Velumani
Publikováno v:
Plant Phenomics
Plant Phenomics, Vol 2021 (2021)
Plant Phenomics, Vol 2021 (2021)
Early-stage plant density is an essential trait that determines the fate of a genotype under given environmental conditions and management practices. The use of RGB images taken from UAVs may replace traditional visual counting in fields with improve
Autor:
Philippe Burger, Alexis Comar, Etienne David, Gaëtan Daubige, Benoit de Solan, François Joudelat, Frédéric Baret
Progresses in agronomy rely on accurate measurement of the experimentations conducted to improve the yield component. Measurement of the plant density is required for a number of applications since it drives part of the crop fate. The standard manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b74efecca13d4300e470c1da6e419f
https://doi.org/10.1101/2021.04.27.441631
https://doi.org/10.1101/2021.04.27.441631
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2021, 253, pp.112205. ⟨10.1016/j.rse.2020.112205⟩
Remote Sensing of Environment, Elsevier, 2021, 253, pp.112205. ⟨10.1016/j.rse.2020.112205⟩
International audience; Many plant species have distinct optical properties between upper and lower leaf faces. These differences between faces are mainly attributed to the non-homogeneous distribution of absorbing and scattering materials within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcdd7e66befaf7bd877907eaaafad46
https://hal.inrae.fr/hal-03132351
https://hal.inrae.fr/hal-03132351