A framework to deal with uncertainty in soil and management parameters in crop yield simulation: A case study for rice-Reference-Cited by-同舟云学术

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A framework to deal with uncertainty in soil and management parameters in crop yield simulation: A case study for rice

Published:1994-01 Issue:1 Volume:46 Page:1-17
ISSN:0308-521X
Container-title:Agricultural Systems
language:en
Short-container-title:Agricultural Systems

Author:

Bouman B.A.M.

Publisher

Elsevier BV

Subject

Agronomy and Crop Science,Animal Science and Zoology

Reference19 articles.

1. Spatial interpolation of daily meteorological data. Theoretic evaluation of available techniques;Beek,1991

2. Spatial interpolation of daily meteorological data. Using kriging to predict daily rainfall in North-Western Europe;Beek,1991

3. Transfer functions and threshold values: from soil characteristics to land qualities;Bouma,1987

4. Potential world food production;Buringh,1979

5. The waterbalance of soil;Driessen,1986

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3. Calibration and Multiple-Parameter Optimization of the Hybrid-Maize Model for Improve Simulation of Soil Moisture and Grain Yield in Farmer's Fields;SSRN Electronic Journal;2022

4. The performance of Metop Advanced SCATterometer soil moisture data as a complementary source for the estimation of crop-soil water balance in Central Europe;The Journal of Agricultural Science;2018-02-08

5. A Stochastic Method for Crop Models: Including Uncertainty in a Sugarcane Model;Agronomy Journal;2017-03

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