Sylvain Jay

Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping

Sylvain Jay, Fabienne Maupas, Ryad Bendoula et al. · Field Crops Research · 2017 · 249 citations · Full text

Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops

Sylvain Jay, Frédéric Baret, Dan Dutartre et al. · Remote Sensing of Environment · 2018 · 220 citations

Sugar Beet Crops, Precision Agriculture, Engineering +10

Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

Jean‐Baptiste Féret, Guerric Le Maire, Sylvain Jay et al. · Remote Sensing of Environment · 2018 · 175 citations · Full text

Equivalent Water Thickness, Leaf Mass, Precision Agriculture +13

A physically-based model for retrieving foliar biochemistry and leaf orientation using close-range imaging spectroscopy

Sylvain Jay, Ryad Bendoula, Xavier Hadoux et al. · Remote Sensing of Environment · 2016 · 162 citations · Full text

Biology, Plant Physiology, Physically-based Model +12

Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery

Sylvain Jay, Nathalie Gorretta, J. Morel et al. · Remote Sensing of Environment · 2017 · 154 citations

Leaf Chlorophyll Content, Precision Agriculture, Environmental Monitoring +9