Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Status: | Pågående |
Projektnummer: | O-18-20-162 |
Kategori: | Focus area | Food & feed |
Branschområden: | Växtodling |
Ansökningsår: | 2018 |
Datum för slutrapport: | 31 december 2022 |
Huvudsökande: | Kristin Piikki |
Organisation: | Kristin Piikki |
E-postadress: | kristin.piikki@slu.se |
Telefon: | 0511-67222 |
Medsökande: | Henrik Stadig |
Medsökande: | Mats Söderström |
The goal is models for translating satellite data from the time of supplementary fertilisation directly to nitrogen (N) recommendation maps. The crops are winter wheat (Triticum aestivum L.) and malting barley (Hordeum vulgare L.). A new multispectral camera for drones, with nine bands of the same specifications as Sentinel-2 in the 400-900 nm spectral range, will be used to collect reflectance data in Swedish trial series L3-2299 and L3-2302. Robust models for economically optimal N rates will be developed and evaluated. If successful, models can be implemented in satellite-based decision support systems for precision agriculture, such as CropSAT. Key results will be implemented in a ‘Focus on Nutrients’ (national programme to improve nutrient use efficiency) module on precision agriculture. Potential benefits of the models can be large, by enabling wide application of more accurate N fertilisation. The project spans the knowledge chain from needs-driven research to evaluation.
Målet är prediktionsmodeller som direkt översätter satellitdata från tiden för tilläggsgödsling till kväverekommendationskartor. Grödorna är höstvete (Triticum aestivum L.) och maltkorn (Hordeum vulgare L.). En ny drönarburen multispektral kamera med nio våglängdsband med samma specifikationer som Sentinel-2 i det spektrala området 400-900 nm ska användas för att samla in reflektansdata i försöksserierna L3-2299 och L3-2302. Från insamlade data ska robusta modeller för ekonomiskt optimal kvävegiva utvecklas och utvärderas. Om dessa bedöms tillförlitliga ska de tillhandahållas fritt för implementering i satellitbaserade beslutsstödsystem för precisionsodling (t.ex. CropSAT). Viktiga resultat från projektet ska implementeras i Greppa Näringens precisionsodlingsmodul. Nyttan för näringen bedöms som stor då man möjliggör bred tillämpning av mer träffsäker kvävegödsling och projektet spänner över hela kunskapskedjan från behovsdriven forskning till produktutveckling och utvärdering.
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