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Prediction of Potato High-Yield Zones of a Field:Bivariate Frequency Ratio Technique


Affiliations
1 Precision Agriculture Research Chair, King Saud University, Riyadh, Saudi Arabia
2 Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
 

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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  • Prediction of Potato High-Yield Zones of a Field:Bivariate Frequency Ratio Technique

Abstract Views: 191  |  PDF Views: 69

Authors

Khalid A. Al-Gaadi
Precision Agriculture Research Chair, King Saud University, Riyadh, Saudi Arabia
Abdalhaleem A. Hassaballa
Precision Agriculture Research Chair, King Saud University, Riyadh, Saudi Arabia
Rangaswamy Madugundu
Precision Agriculture Research Chair, King Saud University, Riyadh, Saudi Arabia
El-Kamil Tola
Precision Agriculture Research Chair, King Saud University, Riyadh, Saudi Arabia
Ronnel B. Fulleros
Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia

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 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.

References





DOI: https://doi.org/10.18520/cs%2Fv119%2Fi6%2F992-1000