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-22-20-758 |
Kategori: | Focus area | Food & feed |
Branschområden: | Crop production Meat Milk |
Ansökningsår: | 2023 |
Huvudsökande: | Junxiang Peng |
Organisation: | Swedish University of Agricultural Sciences |
E-postadress: | junxiang.peng@slu.se |
Telefon: | +460907868116 |
Medsökande: | Julianne Oliveira |
Medsökande: | Carolyn Glynn |
Forage crops occupy a dominant part of the agricultural landscape in Sweden and form the basis of ruminant diets. Farmers aim to maximize harvest yield while maintaining a high level of forage quality. The proposed project is a partnership between SLU and Dataväxt, and aims to develop a decision support system (DSS) that integrates satellite data and simple crop models to map and predict biomass, N status and nutritive value of forages. The three main activities of the project include i) data collection, ii) model development and testing, and iii) DSS development. Existing datasets will be used for model calibration and DSS development. Extra data collection will be performed in fields distributed across Sweden. The functioning DSS will assist farmers with feed budgeting, harvest logistics, efficient use of fertilizer, and eventually, result in a more economically and environmentally sustainable system.
Fodergrödor upptar en dominerande del av odlingslandskapet i Sverige och utgör grunden för idisslarnas dieter. Lantbrukare strävar efter att maximera skördeavkastningen och samtidigt bibehålla en hög foderkvalitet. Det föreslagna projektet är ett partnerskap mellan SLU och Dataväxt, och syftar till att utveckla ett beslutstödssystem (DSS) som integrerar satellitdata och enkla grödmodeller för att kartlägga och förutsäga biomassa, kvävestatus och näringsvärde i foder. Projektets tre huvudsakliga aktiviteter är i) datainsamling, ii) modellutveckling och test och iii) utveckling av ett DSS. Datauppsättningar användas för kalibrering av modellerna och utveckling av DSS. Ytterligare datainsamling kommer att utföras på fält i olika delar av Sverige. Det fungerande DSS kommer att hjälpa jordbrukare med foderbudgetering, skördelogistik, effektiv användning av gödselmedel och på sikt resultera i ett mer ekonomiskt och miljömässigt hållbart system.
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