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Data science at farm level: Explaining and predicting within-farm variability in potato growth and yield

  • Published:2021-02 Issue: Volume:123 Page:126220
  • ISSN:1161-0301
  • Container-title:European Journal of Agronomy
  • language:en
  • Short-container-title:European Journal of Agronomy

Author:

Mulders Puck J.A.M.,van den Heuvel Edwin R.,van den Borne Jacob,van de Molengraft René,Heemels W.P.M.H.(Maurice),Reidsma Pytrik

Funder

European Regional Development Fund

Ministerie van Economische Zaken

Provincie Noord-Brabant

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Reference55 articles.

1. The yield gap of major food crops in family agriculture in the tropics: assessment and analysis through field surveys and modelling;Affholder;Field Crop. Res.,2013

2. Actual and Potential Production of Agricultural Crops. Technical Report 5;Alberda,1962

3. Review of yield gap explaining factors and opportunities for alternative data collection approaches;Beza;Eur. J. Agric.,2017

4. De invloed van de temperatuur op de ontwikkeling van de aardappel;Bodlaender,1960

5. Relationship between leaf area index and ground cover in potato under different management conditions;Boyd;Potato Res.,2002
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