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Data collection design for calibration of crop models using practical identifiability analysis

  • Published:2021-11 Issue: Volume:190 Page:106457
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Coudron Willem,Gobin Anne,Boeckaert Charlotte,De Cuypere Tim,Lootens Peter,Pollet Sabien,Verheyen Kris,De Frenne Pieter,De Swaef Tom

Funder

UGent

VITO NV

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. Performance Evaluation of AquaCrop Model for Maize Crop in a Semi-Arid Environment;Abedinpour;Agric. Water Manage.,2012

2. Present and future köppen-geiger climate classification maps at 1-km resolution;Beck;Sci. Data,2018

3. Potential uses and limitations of crop models;Boote;Agron. J.,1996

4. Multi-Location testing as a tool to identify plant response to global climate change;Braun,2010

5. Practical identifiability analysis of large environmental simulation models;Brun;Water Resour. Res.,2001
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