Morandin Figueiredo, Bruno
- Department of Soil and Environment, Swedish University of Agricultural Sciences
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
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
- Department of Soil and Environment, Swedish University of Agricultural Sciences
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
Earth Observation
Agricultural Science
Publication identifier
- DOI: https://doi.org/10.3920/978-90-8686-947-3_16
- ISBN: 978-90-8686-393-8
- eISBN: 978-90-8686-947-3
Permanent link to this page (URI)
https://res.slu.se/id/publ/122672