Personal information

Countries

Japan

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Employment (1)

Kabushiki Kaisha Synspective: Koto-ku, Tokyo, JP

Chief Tech Lead (Solution)
Employment
Source: Self-asserted source
Clément Barras

Education and qualifications (2)

École Normale Supérieure Paris-Saclay: Gif-sur-Yvette, FR

Master's Degree (Mathematics, Computer Vision, Machine Learning) (Mathematics)
Education
Source: Self-asserted source
Clément Barras

CentraleSupélec: Gif-sur-Yvette, FR

Master's Degree (Applied Mathematics)
Education
Source: Self-asserted source
Clément Barras

Works (1)

High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models

Plant Phenomics
2024 | Journal article
DOI: 10.34133/plantphenomics.0244
Contributors: Mashiro Okada; Clément Barras; Yusuke Toda; Kosuke Hamazaki; Yoshihiro Ohmori; Yuji Yamasaki; Hirokazu Takahashi; Hideki Takanashi; Mai Tsuda; Masami Yokota Hirai et al.
Source: check_circle
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