Use case

Optimising nitrogen fertilisation based on spectral sensing and crop modelling

Target groups

  • Conventional farming
  • Organic farming
  • Companies

Abstract

Crop productivity and quality depend on large inputs of nitrogen (N) into cropping systems. The global average N-use efficiency (NUE) in cropping systems is, however, only 30-50% of applied N. The reasons for this are crop requirements that are poorly matched with application time of fertilisers, spatially variable N requirements of crop plants and seasonal fluctuations in weather conditions.

Farm/IT uses an innovative approach for estimating N fertilisation by linking spectral reflectance data with crop modelling. The crop model simulates season-specific plant growth and N demand, while the spectral sensor provides data on actual N content of the canopy. This information, together with weather forecasts, will be used to make tailored fertiliser recommendations.

01

Düngeoptimum

Wie können Düngestrategien optimiert werden, sodass Ertrag und Deckungsbeitrag maximiert und Umweltauswirkungen minimiert werden?

02

Zeitpunkt

Welche Zeitpunkte sind optimal für das Ausbringen von Dünger?

03

Qualität

Wie kann dem räumlich variablen Düngebedarf gerecht werden?

Screenshots of Farm/IT

FARM/IT can be used with any actual web-browser. After entering some basic data, you can optimize individual agricultural scenarios.