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Nicolas Virlet

Showing results (1-10 of 13) with videos related to

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Plant Methods|June 16, 2026
Quantifying wheat spike morphology by high resolution 3D surface scanningLatifa Greche, Nicolas Virlet, Malcolm J Hawkesford
Plant Methods|December 5, 2017
Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotypingPouria Sadeghi-Tehran, Nicolas Virlet, Kasra Sabermanesh, et al.
Journal of Imaging|August 30, 2021
Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant BiologyPouria Sadeghi-Tehran, Plamen Angelov, Nicolas Virlet, et al.
Frontiers in Plant Science|March 15, 2017
Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and FloweringPouria Sadeghi-Tehran, Kasra Sabermanesh, Nicolas Virlet, et al.
Functional Plant Biology : FPB|June 3, 2020
Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoringNicolas Virlet, Kasra Sabermanesh, Pouria Sadeghi-Tehran, et al.
Journal of Experimental Botany|July 26, 2015
Multispectral airborne imagery in the field reveals genetic determinisms of morphological and transpiration traits of an apple tree hybrid population in response to water deficitNicolas Virlet, Evelyne Costes, Sébastien Martinez, et al.
Journal of Experimental Botany|August 1, 2014
Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraintsNicolas Virlet, Valentine Lebourgeois, Sébastien Martinez, et al.
Frontiers in Plant Science|October 17, 2019
<i>DeepCount</i>: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural NetworksPouria Sadeghi-Tehran, Nicolas Virlet, Eva M Ampe, et al.
Frontiers in Plant Science|October 20, 2023
Field phenotyping for African crops: overview and perspectivesDaniel K Cudjoe, Nicolas Virlet, March Castle, et al.
Journal of Experimental Botany|February 26, 2020
Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platformDanilo H Lyra, Nicolas Virlet, Pouria Sadeghi-Tehran, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Plant Methods|June 16, 2026
Quantifying wheat spike morphology by high resolution 3D surface scanningLatifa Greche, Nicolas Virlet, Malcolm J Hawkesford
Plant Methods|December 5, 2017
Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotypingPouria Sadeghi-Tehran, Nicolas Virlet, Kasra Sabermanesh, et al.
Journal of Imaging|August 30, 2021
Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant BiologyPouria Sadeghi-Tehran, Plamen Angelov, Nicolas Virlet, et al.
Frontiers in Plant Science|March 15, 2017
Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and FloweringPouria Sadeghi-Tehran, Kasra Sabermanesh, Nicolas Virlet, et al.
Functional Plant Biology : FPB|June 3, 2020
Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoringNicolas Virlet, Kasra Sabermanesh, Pouria Sadeghi-Tehran, et al.
Journal of Experimental Botany|July 26, 2015
Multispectral airborne imagery in the field reveals genetic determinisms of morphological and transpiration traits of an apple tree hybrid population in response to water deficitNicolas Virlet, Evelyne Costes, Sébastien Martinez, et al.
Journal of Experimental Botany|August 1, 2014
Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraintsNicolas Virlet, Valentine Lebourgeois, Sébastien Martinez, et al.
Frontiers in Plant Science|October 17, 2019
<i>DeepCount</i>: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural NetworksPouria Sadeghi-Tehran, Nicolas Virlet, Eva M Ampe, et al.
Frontiers in Plant Science|October 20, 2023
Field phenotyping for African crops: overview and perspectivesDaniel K Cudjoe, Nicolas Virlet, March Castle, et al.
Journal of Experimental Botany|February 26, 2020
Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platformDanilo H Lyra, Nicolas Virlet, Pouria Sadeghi-Tehran, et al.
Pageof 2