Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics‐based quantitative soil information-Reference-Cited by-同舟云学术

Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics‐based quantitative soil information

Published:2020-01 Issue:1 Volume:19 Page:
ISSN:1539-1663
Container-title:Vadose Zone Journal
language:en
Short-container-title:Vadose zone j.

Author:

Brogi C.¹^ORCID,Huisman J. A.¹^ORCID,Herbst M.¹^ORCID,Weihermüller L.¹^ORCID,Klosterhalfen A.¹²^ORCID,Montzka C.¹^ORCID,Reichenau T. G.³^ORCID,Vereecken H.¹^ORCID

Affiliation:

1. Agrosphere (IBG‐3) Institute of Bio‐ and Geosciences Forschungszentrum Jülich Jülich 52425 Germany

2. Dep. of Forest Ecology and Management Swedish Univ. of Agricultural Sciences (SLU) Sweden

3. Institute of Geography Univ. of Cologne Germany

Publisher

Wiley

Subject

Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/vzj2.20009

Reference91 articles.

1. On-the-go soil sensors for precision agriculture

2. Estimation and Validation of RapidEye-Based Time-Series of Leaf Area Index for Winter Wheat in the Rur Catchment (Germany)

3. Handbook of Agricultural Geophysics

4. Morphological, physiological and biochemical responses of plants to drought stress;Anjum S. A.;African Journal of Agricultural Research,2011

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