
Baby Grain Passport – Traceable and sustainable production of cereals for baby food
Project overview
Participants
Additional info
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Global goals
- 2. Zero hunger
- 6. Clean water and sanitation
- 13. Climate action
- 14. Life below water
Short summary
In collaboration with Lantmännen, Agroväst Livsmedel och Dataväxt we have developed knowledge and tools for easier sourcing of the best grain, and for tracing selected batches from the farmers’ fields to baby food producer.
Limits for heavy metals and mycotoxins are especially strict in cereals for baby food. In collaboration with Lantmännen, Agroväst Livsmedel och Dataväxt we have develop knowledge and tools for easier sourcing of the best grain, and for tracing selected batches from the farmers’ fields to baby food producer. We have also developed decision support for farmers to improve the resource use efficiency of the crop production (available in cropsat.se). The project was carried out within the framework of the Laboratory for agricultural decision support systems (LADS).
Read more in the final report: https://pub.epsilon.slu.se/34505/1/persson-k-et-al-20240627.pdf (in Swedish)
Publications
Articles in peer-reviewed scientific journals
Adler, K., Persson, K., Söderström, M., Eriksson, J., & Pettersson, C. G. (2023). Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium. Agronomy, 13(2), 317. https://doi.org/10.3390/agronomy13020317
Alshihabi, O., Persson, K., & Söderström, M. (2024). Easy yield mapping for precision agriculture. Acta Agriculturae Scandinavica, Section B—Soil & Plant Science, 74(1), 2411950. https://doi.org/10.1080/09064710.2024.2411950
Börjesson, T., Persson, K., & Lindgren, A. (2024). Spatial dynamics of T-2 and HT-2 toxins in Swedish oats. Agricultural and Food Science, 33(4). https://doi.org/10.23986/afsci.146831
Marzec-Schmidt, K., Börjesson, T., Suproniene, S., Jędryczka, M., Janavičienė, S., Góral, T., ... & Piikki, K. (2021). Modelling the Effects of Weather Conditions on Cereal Grain Contamination with Deoxynivalenol in the Baltic Sea Region. Toxins, 13(11), 737. https://doi.org/10.3390/toxins13110737
Piikki, K., Söderström, M., Stadig, H., & Wolters, S. (2022). Remote sensing and on-farm experiments for determining in-season nitrogen rates in winter wheat–Options for implementation, model accuracy and remaining challenges. Field Crops Research, 289, 108742. https://doi.org/10.1016/j.fcr.2022.108742
Söderström, M., Piikki, K., & Stadig, H. (2021). Yield maps for everyone–scaling drone models for satellite-based decision support. In Precision agriculture’21 (pp. 415-421). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-916-9_109
Wang, X., Borjesson, T., Wetterlind, J., & van der Fels-Klerx, H. J. (2024). Prediction of deoxynivalenol contamination in spring oats in Sweden using explainable artificial intelligence. npj Science of Food, 8(1), 75. https://doi.org/10.1038/s41538-024-00310-w
Wolters, S., Söderström, M., Piikki, K., Börjesson, T., & Pettersson, C. G. (2022). Predicting grain protein concentration in winter wheat (Triticum aestivum L.) based on unpiloted aerial vehicle multispectral optical remote sensing. Acta Agriculturae Scandinavica, Section B—Soil & Plant Science, 72(1), 788-802. https://doi.org/10.1080/09064710.2022.2085165
International conference with written and oral presentations
Alshihabi O., Persson K., Söderström M. (2023). Post-processing yield maps of winter wheat using data from satellites and combines. In: Stafford, J.V. (Ed.) Precision Agriculture '23. Wageningen Academic Publishers, Wageningen, the Netherlands, pp. 523-530. https://doi.org/10.3920/978-90-8686-947-3
Persson K., Söderström M., Stadig H., Martinsson J. (2023). Target-N: Sentinel-2 based nitrogen optimisation in Swedish cereal production. In: Stafford, J.V. (Ed.) Precision Agriculture '23. Wageningen Academic Publishers, Wageningen, the Netherlands, pp. 315-322. https://doi.org/10.3920/978-90-8686-947-3
Söderström M., Piikki K. & Stadig, H. (2021). Yield maps for everyone - scaling drone models for satellite-based decision support. In: Stafford, J.V. (Ed.) Precision Agriculture '21. Wageningen Academic Publishers, Wageningen, the Netherlands, pp. 911 - 918. https://doi.org/10.3920/978-90-8686-916-9_109
NB: several of the publications are the result of collaboration with other projects.
Reports
Baby Grain Passport–säker och hållbart producerad spannmål till barnmat. 2024. Rapport från SLU.