Söderström, Mats
- Department of Soil and Environment, Swedish University of Agricultural Sciences
Conference paper2023Peer reviewed
Target-N: Sentinel-2 based nitrogen optimisation in Swedish cereal production
Söderström, Mats; Persson, Kristian; Stadig, H.; Martinsson, J.
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.
Keywords
barley; decision support system; remote sensing; wheat; UAV
Published in
Title: Precision agriculture ’23
Publisher: Wageningen Academic Publishers
Conference
14th European Conference on Precision Agriculture, Bologona Italy, 2-6 July 2023
SLU Authors
Persson, Kristian
- Department of Soil and Environment, Swedish University of Agricultural Sciences
- Department of Soil and Environment, Swedish University of Agricultural Sciences
UKÄ Subject classification
Soil Science
Remote Sensing
Publication identifier
- DOI: https://doi.org/10.3920/978-90-8686-947-3_38
- ISBN: 978-90-8686-393-8
- eISBN: 978-90-8686-947-3
Permanent link to this page (URI)
https://res.slu.se/id/publ/122673