Institut Convergences Agriculture Numérique | #DigitAg Digital Agriculture Convergence Lab

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Axis5

22 posts

Doctoral Thesis PhD's Corner PhDs

[PhD’s Corner] Enzo Castro : Exploiting multi-year high-resolution Sentinel image time series for a better understanding of fallow dynamics in West Africa

Enzo Castro is one of the #DigitAg co-funded PhDs […]

Post-Doctorates

[Post-doc] Maxime Ryckewaert : Detection of water stress of the vine by optical instrument

#DigitAg labelled post-doctorate Detection of water stress of the vine […]

Doctoral Thesis PhD's Corner PhDs

[PhD’s corner]Daniel Pasquel : Metrics to assess the spatialisation of crop models for Precision Agriculture, application to a vine water status model

Daniel is one of the #DigitAg cofunded PhDs Metrics […]

Doctoral Thesis PhD's Corner PhDs

[PhD’s corner]Maëva Durand : Integrated automated on real-time welfare and health assessment of gestating sows using heterogeneous data for precision feeding

Maëva is one of the #DigitAg cofunded PhDs Integrated […]

Doctoral Thesis PhD's Corner PhDs

[PhD’s Corner] Caroline Xavier: High-speed phenotyping of body and carcass composition of the growing cattle by 3D imaging and dual-energy X-ray absorptiometry (DXA) coupled by machine learning

Caroline Xavier is one of the #DigitAg labelled PhDs High-speed […]