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Simulated Weather Crop Index (WCI).
Two modeling approaches were investigated the simulated weather crop index and the burn yield analysis approach.
The procedures applied to the two modeling approaches can be summarized as follows: (1) Simulated Weather Crop Index (WCI) .
In addition a one percentage increase in agricultural production reduces the food crop index by 0.49percentt.
The simulated weather crop index approach achieves excellent correlation between simulated and observed rainfall (necessary, for example, for modeling drought conditions) at the macroscale.
Our investigation demonstrated that both approaches—"simulated weather crop index" (WCI) and "burn yield analysis"—could be implemented at the county level in ways that produce the necessary probabilistic risk metrics required for risk underwriting, risk transfer, and risk management.
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An average crop harvest index is estimated as 0.75.
Figure 1a is a raw image with overlaid crop indices (red disks) and rotation angle.
a Example raw data of Cu electrodeposition with overlaid crop indices (red disks) and the desired angle of rotation.
Once the raw data are in an acceptable video file format, we select a reference frame and manually define the rotation, if any, the crop indices (crop area), and the background for subtraction.
Corn and wheat are the most important crops and the multiple cropping index is 200%.
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