Abstract

The grain crude protein analysis tool evaluated in this project, combined with satellite imagery has the potential to be an alternative to combine harvester protein mapping devices. Evaluation showed that a calibration is necessary for accurate results. Field-specific and general calibrations were developed bringing MAE to as low as 0.14% for a field-specific calibration. In combination with satellite imagery, protein prediction models were developed using 9 available wavelength bands from a wide range of images throughout the cropping season. Predictions had a MAE as low as 0.10% for a field-specific model.

Keywords

winter wheat; crude protein; remote sensing; satellite; prediction model

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

• Morandin Figueiredo, Bruno

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

• 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

Remote Sensing
Agricultural Science


Publication identifier

DOI: https://doi.org/10.3920/978-90-8686-947-3_16

Permanent link to this page (URI)

https://res.slu.se/id/publ/122672