Rezultati pretraživanja
  1. 4. velj

    Simulations of Cover Crops with STICS by N. Meyer. good job !

  2. 4. velj

    STICS used on contrasted climates and crops in the world : Canada and Madagascar

  3. 4. velj

    A STICS research version on organic cropping system with N. Beaudoin and B. Autret

  4. 3. velj

    gave a plenary keynote at the conference in Montpellier, France this morning about using crop modeling, artificial intelligence, and remote sensing in digital agriculture. He highlighted some of our lab's work!

  5. 4. velj

    Poster session : STICS and sugarcane and STICS and intercropping

  6. 4. velj

    Common subject in all the different modelling presentations.... we dont have enough data!!!! And even less good quality data!

  7. 4. velj

    "If you don't understand it, you can't model it. If you don't model it, you can't understand it" (Hammer, 2020 )

  8. 3. velj

    Wishing everyone at a great conference! Don't forget to say "Hi" to editors Amy Marshall-Colon and Graeme Hammer.

  9. 4. velj

    Return to Europe with Macsur project !

  10. 3. velj

    Bon Jour Montpellier! 🇫🇷 Looking forward to learning more at today!

  11. 3. velj

    Find in ! One of our organizer is looking forward to playing hide-and-seek with colleagues. Secrete gift will be given if you catch him😄

  12. prije 14 sati

    Ready for the last plenary.... the tiredness of the day after the gala dinner is starting to hit!

  13. Simulation of intercropping with STICS in the Remix project : improvement of the light competition. R. Vezy

  14. prije 13 sati

    Let's conclude on we need more data and to avoid jail!

  15. prije 13 sati
  16. prije 13 sati

    Learned more about some of the major crop models in digital ag at

  17. And let's start the last session of with François Tardieu and modeling the consequences of genetic variability on yield

  18. Odgovor korisnicima

    Ils sont plutôt confortables, par contre l'absence de prises va se faire sentir !

  19. Gaëtan Louarn @INRAE_NA_BX UR presents an individual-based modelling as a tool to identify combinations of traits promoting overyielding in grass-legume mixtures

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