Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Precision agriculture ’23 |
| Publisher | Wageningen Academic Publishers |
| Pages | 315-322 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-90-8686-947-3 |
| ISBN (Print) | 978-90-8686-393-8 |
| DOIs | |
| Publication status | Published - 2023 |
Keywords
- UAV
- barley
- decision support system
- remote sensing
- wheat
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