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Crop production data and forecasts system in ... - Foodnet - cgiar

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sampl<strong>in</strong>g methods to generate national <strong>production</strong> estimates disaggregated <strong>in</strong>to four<br />

regions of Ug<strong>and</strong>a (Annex 2).<br />

Coefficients of variation (CVs) are used <strong>in</strong> the 1999 / 2000 report to evaluate <strong>data</strong><br />

reliability with CVs higher than 20% seen as unattractive. Estimated CVs given <strong>in</strong> the<br />

crop module report show that ‘at the national level coefficients of variation are<br />

generally low <strong>in</strong>dicat<strong>in</strong>g that the estimates are precise’ (UBOS <strong>Crop</strong> Survey Module<br />

2000).<br />

Key <strong>in</strong>formants view <strong>Crop</strong> Survey statistics as credible. <strong>Crop</strong> surveys show greater<br />

consistency with <strong>production</strong> statistics produced by other organisations. The 1999 /<br />

2000 <strong>Crop</strong> Survey module represents a valuable resource for determ<strong>in</strong>ation of<br />

basel<strong>in</strong>e crop <strong>production</strong>.<br />

5.2 FAO Data<br />

The FAO rely on <strong>data</strong> supplied by MAAIF <strong>and</strong> UBOS. FAO <strong>production</strong> statistics are<br />

thus exposed to the same caveats that blight MAAIF / UBOS <strong>data</strong>.<br />

5.3 IDEA Project Data<br />

The IDEA project produces seasonal <strong>production</strong> statistics <strong>and</strong> monthly import <strong>and</strong><br />

export figures for maize <strong>and</strong> beans. Export <strong>data</strong> is also available for matooke cook<strong>in</strong>g<br />

bananas to <strong>in</strong>ternational markets.<br />

Production <strong>forecasts</strong> are produced for maize <strong>and</strong> bean crops.<br />

5.3.1 Forecast<strong>in</strong>g District <strong>and</strong> National Maize <strong>and</strong> Bean Production<br />

Maize <strong>and</strong> bean <strong>forecasts</strong> focus on districts covered by the IDEA project. <strong>Crop</strong><br />

specialists who have a detailed local knowledge of the districts covered produce the<br />

<strong>forecasts</strong>. Hectare estimates are based on UBOS / MAAIF crop area <strong>data</strong> from 1981<br />

to 1996. These area estimates are adjusted accord<strong>in</strong>g to recent field observation giv<strong>in</strong>g<br />

an estimate of current area planted by district. Project crop specialists regularly assess<br />

field conditions when they visit the relevant districts. The area planted figure is<br />

multiplied by a yield estimate to give a forecast of <strong>production</strong>. The IDEA Project crop<br />

specialist determ<strong>in</strong>es the yield estimate based on recent field observation. To achieve<br />

a national figure district figures are summed, estimates for districts fall<strong>in</strong>g outside of<br />

the IDEA project rely on historic UBOS / MAAIF <strong>data</strong>.<br />

The IDEA staff themselves view the district <strong>and</strong> national level <strong>production</strong> statistics<br />

for maize <strong>and</strong> beans as <strong>in</strong>sufficiently accurate. Accuracy is particularly lost through<br />

the estimation of crop area. The project has tried physically measur<strong>in</strong>g crop areas with<br />

tape measures but found this impractical. National figures <strong>in</strong>clude <strong>production</strong> from<br />

districts where the actual situation is little known. Traders <strong>in</strong>terviewed confirmed the<br />

view that IDEA national <strong>production</strong> figures are <strong>in</strong>sufficiently accurate. It is however<br />

generally perceived that the IDEA national <strong>production</strong> estimates are generally more<br />

reliable than current monthly UBOS / MAAIF statistics.<br />

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