Abstract

Yield mapping is important for evaluation of crop management and for delineation of management zones. In this study, a simple approach was developed to map winter wheat (Triticum aestivum L.) yield in fields missing combine yield data, based on yield data from other fields in the neighbourhood combined with Sentinel-2 data (ESA, EU). The study focused on which vegetation index (VI), which growth stage and which spatial resolution was optimal for yield mapping. The results showed that the VI map resolution did not significantly affect the mapping model, a combination of bands in the short-wave infrared and near infrared region was the most efficient in yield mapping and that satellite data from later growth stages (in the milk development stage) were better in mapping the final yield if compared with earlier stages.

Keywords

yield mapping; combine harvester; remote sensing

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

• Alshihabi, Omran

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

• Persson, Kristian

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

• Söderström, Mats

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

UKÄ Subject classification

Agricultural Science
Remote Sensing


Publication identifier

DOI: https://doi.org/10.3920/978-90-8686-947-3_66

Permanent link to this page (URI)

https://res.slu.se/id/publ/122671