Abstract
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 (Y-A). The YTFs were NDVI-derived from Sentinel-2 images, soil electrical conductivity, nitrogen, pH and texture. The obtained yield tendency map (Y-P) was assessed against Y-A 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.