D1.2 Report on Calibration of Plant & soil models for Nitrogen estimation for each crop

Research output: Book/ReportReportCommissioned

Abstract

The aim of the project is to develop a software-based nitrogen sensor system by integrating various information from the soil, weather, crop, and satellite about a particular field. This work aims at improving the DAISY Spring Barley description for application in a nitrogen sensor tool driven by satellite data. After Winter Wheat, spring barley is the most crucial crop in Denmark in terms of area. In recent years, modern spring barley varieties and management practices have led to an increase in spring barley yield potential. These varieties are not reflected by the default DAISY model making a new parametrization necessary. We present analytical information on the calibration of Daisy based on 2 years field experiment in Taastrup. We also present performance of Daisy for fields outside Denmark. Lastly, we present initial comparison between Daisy and the Coup model. Results show that the calibrated version of Daisy, performs well when compared with Data from the Taastrup experiment, and has a fare agreement when compared with data measured by remote sensing for fields outside Denmark.
Original languageEnglish
Number of pages67
Publication statusPublished - 2020

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