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Therefore use of statistical crop risk models is not sufficient to quantify the agricultural risk of the public sector.
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The present study, however, demonstrated the unique advantages of statistical crop models for large-scale simulation.
"On the use of statistical models to predict crop yield responses to climate change".
The use of statistical packages.
The use of statistical gurus in front offices is not new.
Use of statistical data or figures that appear dubious or wrong is another important theme.
Some series may require the use of statistical software.
In the literature, crop insurance pricing heavily relies on the use of historical crop yield data.
These include destruction of crop residues, deep plowing, crop rotation, use of fertilizers, strip-cropping, irrigation, and scheduled planting operations.
The Use of Nutrients in Crop Plants.
Extensive use of the statistical software JMP.
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