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Prediction of Dry-Land Crop Yields Using Rainfall

Published online by Cambridge University Press:  28 April 2015

Hovav Talpaz ,
Chang Hao Chun  and
C. Robert Taylor
Hovav Talpaz
Affiliation:
Texas A & M University
Chang Hao Chun
Affiliation:
Texas A & M University
C. Robert Taylor
Affiliation:
Texas A & M University
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Extract

A significant component of risk in agricultural production systems is yield variability. The ability to predict yield and thus reduce risk would have many potential benefits to both individual decision makers and society. For example, in farm planning, quality crop yield forecasts could be crucial in making decisions on optimal crop combinations. At the aggregate level, an example where a yield forecast would have obvious benefits would be cases in which government manages a grain buffer stock.

Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 9 , Issue 1 , July 1977 , pp. 115 - 121
Copyright
Copyright © Southern Agricultural Economics Association 1977

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References

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