Emerging cold plasma treatment and machine learning prospects for seed priming: a step towards sustainable food production

Author:

Shelar Amruta1,Singh Ajay Vikram2ORCID,Dietrich Paul3,Maharjan Romi Singh2,Thissen Andreas3,Didwal Pravin N.4,Shinde Manish5,Laux Peter2ORCID,Luch Andreas2ORCID,Mathe Vikas6ORCID,Jahnke Timotheus7,Chaskar Manohar8,Patil Rajendra9ORCID

Affiliation:

1. Department of Technology, Savitribai Phule Pune University, Pune 411007, India

2. Department of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Strasse 8-10, 10589 Berlin, Germany

3. SPECS Surface Nano Analysis GmbH, Voltastrasse 5, 13355 Berlin, Germany

4. Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, UK

5. Centre for Materials for Electronics Technology (C-MET), Panchawati, Pune, 411008, India

6. Department of Physics, Savitribai Phule Pune University, Pune 411007, India

7. Max Planck Institute for Medical Research, 61920 Heidelberg, Germany

8. Faculty of Science and Technology, Savitribai Phule Pune University, Pune 411007, India

9. Department of Biotechnology, Savitribai Phule Pune University, Pune 411007, India

Abstract

The perspective of machine learning for modeling plasma treatment parameters in agriculture for the development of synergistic protocols for different types of seed priming.

Funder

Bundesinstitut für Risikobewertung

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

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