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Vuaille, Jeanne ; Holbak, Maja ; Perslev, Mathias ; Diamantopoulos, Efstathios ; Jensen, Signe M. ; Styczen, Merete E. ; Petersen, Carsten T. ; Strobel, Bjarne W. ; Abrahamsen, Per:
Can information on past and near-future weather and field conditions predict the safest pesticide application day?
In: Computers and Electronics in Agriculture.
Bd. 203
(2022)
.
- 107454.
ISSN 1872-7107
DOI: https://doi.org/10.1016/j.compag.2022.107454
Abstract
Pesticides applied on drained fields can be transported through drain-connected macropores to surface waters, as affected by weather and field conditions around spraying time. We investigated whether field conditions and past and near-future weather could be predictors of the ecotoxicological risk of pesticide leaching to surface waters and help identify the safest application day. We developed a methodological approach for one climate-soil setting and two herbicides. The agro-hydrological model Daisy and a 3,000-year series of generated weather were used to simulate a total of 369,326 pesticide application days and their resulting hourly drain concentrations, used in the risk calculation. Recurrent neural networks were trained on the simulated data.
The trained meta-models selected the safest application day within a 5-day period with an average accuracy of 60–80%. The effective risk reductions were only of 3–11% for the investigated climate-soil-pesticide settings. Nevertheless, they represented 46–86% of the achievable reductions according to Daisy.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Application day; Pesticide leaching; Ecotoxicological risk; Decision support system; Machine learning; Drainage |
| Institutionen der Universität: | Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Lehrstuhl Bodenphysik Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Lehrstuhl Bodenphysik > Lehrstuhl Bodenphysik - Univ.-Prof. Dr. Efstathios Diamantopoulos |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie |
| Eingestellt am: | 20 Mai 2026 12:27 |
| Letzte Änderung: | 20 Mai 2026 12:27 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/97240 |