How do I apply a three-year rolling average for cocoa yield data in the Cool Farm Platform (CFP)?
Q: Why is a three-year rolling average used for yield data in cocoa GHG accounting?
The WCF/Quantis Manual recommends using a three-year rolling average for primary yield data to account for annual yield variations (page 13). This approach ensures that data collection is reliable and minimizes outliers when only one or two years of data are available.
Q: Does the CFP require a three-year rolling average, or can it take full lifecycle yield data?
The CFP allows users to input yield data for the entire crop lifecycle, providing a more comprehensive approach to smoothing yield variations. This is particularly useful for crops like cocoa, which experience production cycles over multiple years.
Q: How can I apply the three-year rolling average approach in the CFP?
If you prefer to use a three-year rolling average, follow these steps:
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Input Basic Crop Details
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Enter the Expected Lifecycle Duration, Assessment Year, and Crop Age During the Assessment Year as shown below
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Enter the Yield Data
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In the Total Yield in Assessment Year field, input the three-year average yield.
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Adjust Annual Yield Estimates by Percentage
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In the Annual Yield Estimates by Percentage table, ensure that the assessment year and the two years before and after have the same percentage.
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This should align with the expected yield curve, as shown below:
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Review Lifecycle vs. Assessment Year Results
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When analysing results, check whether you are viewing lifecycle emissions or assessment year emissions, as indicated in the below screenshot:
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Emissions intensity can be found at the bottom of the results:
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By following these steps, you can apply a three-year rolling average while ensuring data consistency in the CFP.
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