Sammanfattning
A modelling framework for prediction of site-specific optimal topdressing N rates was developed for winter wheat (Triticum aestivum L.) and malting barley (Hordeum vulgare L.). First, field mean optimal N rate was modelled from different combinations of ancillary data (yield potential, N-uptake in zero-plots, etc.). Second, relative N rate within the field was modelled from remote-sensing based vegetation indices, also relative within the field. Data were collected in ten field trials per crop across south Sweden. In a leave-one-trial-out cross-validation, the topdressing N rates had a mean absolute error of 17 kg N/ha (wheat) and 20 kg N/ha (barley). Satellite-based interactive DSS enable wide adoption of variable rate N fertilization.
| Originalspråk | Engelska |
|---|---|
| Titel på värdpublikation | Precision agriculture ’23 |
| Förlag | Wageningen Academic Publishers |
| Sidor | 315-322 |
| Antal sidor | 8 |
| ISBN (elektroniskt) | 978-90-8686-947-3 |
| ISBN (tryckt) | 978-90-8686-393-8 |
| DOI | |
| Status | Publicerad - 2023 |
Nyckelord
- UAV
- barley
- decision support system
- remote sensing
- wheat
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