Target-N: Sentinel-2 based nitrogen optimisation in Swedish cereal production

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.

Nyckelord

barley; decision support system; remote sensing; wheat; UAV

Publicerad i

Titel: Precision agriculture ’23
Utgivare: Wageningen Academic Publishers

Konferens

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

SLU författare

• Söderström, Mats

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    

• Persson, Kristian

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Markvetenskap
Fjärranalysteknik

Publikationens identifierare

• 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 länk till denna sida (URI)

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