AgDrift®: A model for estimating near-field spray drift from aerial applications

✍ Scribed by Milton E. Teske; Sandra L. Bird; David M. Esterly; Thomas B. Curbishley; Scott L. Ray; Steven G. Perry

• Book ID: 102201829
• Publisher: John Wiley and Sons
• Year: 2002
• Tongue: English
• Weight: 162 KB
• Volume: 21
• Category: Article
• ISSN: 0730-7268
• DOI: 10.1002/etc.5620210327

✦ Synopsis

Abstract

The aerial spray prediction model AgDRIFT® embodies the computational engine found in the near‐wake Lagrangian model AGricultural DISPersal (AGDISP) but with several important features added that improve the speed and accuracy of its predictions. This article summarizes those changes, describes the overall analytical approach to the model, and details model implementation, application, limits, and computational utilities.