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The future of crop protection: leveraging fungi, robotics, and AI in the battle against wheat pathogens

  • Johan Vormsborg Christiansen*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

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Abstract

Quality by Design (QbD) guided process development is time & cost effective only if knowledge is transferred from one scale to the other (vertical knowledge transfer) one project to the next (horizontal knowledge transfer). Today knowledge is transferred across scales and molecules when assessing the technical risks. However, this form of knowledge transfer is limited and despite the wide spread of platform processes, to some degree the process needs to be developed de novo for every new drug or vaccine candidate.

Hybrid modeling and transfer learning have the potential to transfer knowledge between scales and processes of different molecules much more effectively. In particular, we propose to use an embedding technology to transfer knowledge and a digital twin as a knowledge transfer vehicle. Used consistently this has the potential to reduce the number of experiments by up to 80%.
Original languageEnglish
Title of host publicationDigitally Driven Biotechnology: 4th DTU Bioengineering symposium
Number of pages1
PublisherDTU Bioengineering
Publication date2023
Pages16-16
Publication statusPublished - 2023
Event4th DTU Bioengineering symposium - Kgs. Lyngby, Denmark
Duration: 26 Oct 202326 Oct 2023

Conference

Conference4th DTU Bioengineering symposium
Country/TerritoryDenmark
CityKgs. Lyngby
Period26/10/202326/10/2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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