Prediction of potato high-yield zones of a field: Bivariate frequency ratio technique

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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 (YA). The YTFs were NDVIderived 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.

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Al-Gaadi, K. A., Hassaballa, A. A., Madugundu, R., Tola, E. K., & Fulleros, R. B. (2020). Prediction of potato high-yield zones of a field: Bivariate frequency ratio technique. Current Science, 119(6), 992–1000. https://doi.org/10.18520/cs/v119/i6/992-1000

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