Sammanfattning

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.

Nyckelord

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

Publicerad i

Titel: Precision agriculture ’23
ISBN: 978-90-8686-393-8, eISBN: 978-90-8686-947-3
Utgivare: Wageningen Academic Publishers

Konferens

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

SLU författare

• Morandin Figueiredo, Bruno

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    

• Söderström, Mats

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    

• Persson, Kristian

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Fjärranalysteknik
Jordbruksvetenskap


Publikationens identifierare

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

Permanent länk till denna sida (URI)

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