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Bivariate frequency ratio (BFR) technique was employed to determine high-yield zones in a 30 ha potato (Solanum tuberosum L.) field located in Wadi-Ad-Dawasir, Saudi Arabia. BFR was performed by inputting selected yield tendency factors (YTFs) and potato actual yield (YA). The YTFs were NDVI-derived from Sentinel-2 images, soil electrical conductivity, nitrogen, pH and texture. The obtained yield tendency map (YP) was assessed against (YA) using the area under the curve metric. Although low accuracy (41-58 %) was observed with the individual YTFs, high-yield zones were determined with an accuracy of 90% using the cumulative response of YTFs.

Keywords

Bivariate Frequency Ratio, Potato Field, Soil Parameters, Yield Prediction.
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