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- W2181926179 abstract "The effect of fusion of data from three proximal soil sensors on the prediction of macronutrients (N, P, K, Mg, Ca, Fe) and pH was studied. The commercial sensor platform Veris Technologies Inc. (Salina, KS, USA) used in the study included a soil resistivity/conductivity meter, a pH meter and two spectrophotometers for the visible (vis) and near-infrared (NIR) range. Bagging partial least squares regression was used for modeling. Adding pH and electrical conductivity readings to those of the vis-NIR sensors did only improve the prediction results for soil pH. High model quality among all target variables was achieved for soil pH and for total magnesium." @default.
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- W2181926179 date "2011-01-01" @default.
- W2181926179 modified "2023-09-27" @default.
- W2181926179 title "Evaluation of soil sensor fusion for mapping macronutrients and soil pH" @default.
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