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
ISBN: 978-90-8686-393-8, eISBN: 978-90-8686-947-3
Publisher: Wageningen Academic Publishers

Conference

14th European Conference on Precision Agriculture, Bologona Italy, 2-6 July 2023

SLU Authors

• Söderström, Mats

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

• Persson, Kristian

  • 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

Permanent link to this page (URI)

https://res.slu.se/id/publ/122673