Login / Signup

Dust drift during mechanical and pneumatic wheat sowing and insights into the physicochemical characteristics of the abraded dust.

Reinout GodaertIngrid ZwertvaegherSimon HornetzPieter VerbovenDavid Nuyttens
Published in: Pest management science (2023)
The gathered physicochemical and drift data for wheat seed drilling extends the current dust drift database and helps to better understand the complex dust drift phenomenon. The data will serve as input to refine and validate a CFD dust drift model. Such a model allows a better and quicker assessment of different scenario's (such as varying wind speeds and direction, treatment, drilling technique) at a lower cost than conducting more field trials. This article is protected by copyright. All rights reserved.
Keyphrases
  • health risk assessment
  • health risk
  • human health
  • polycyclic aromatic hydrocarbons
  • heavy metals
  • drinking water
  • risk assessment
  • big data
  • emergency department
  • deep learning
  • combination therapy