Sensor data fusion to predict multiple soil properties

  title={Sensor data fusion to predict multiple soil properties},
  author={Hafiz Sultan Mahmood and Willem B. Hoogmoed and Eldert J. van Henten},
  journal={Precision Agriculture},
The accuracy of a single sensor is often low because all proximal soil sensors respond to more than one soil property of interest. Sensor data fusion can potentially overcome this inability of a single sensor and can best extract useful and complementary information from multiple sensors or sources. In this study, a data fusion was performed of a Vis–NIR spectrometer and an EM38 sensor for multiple soil properties. Stepwise multiple linear regression (SMLR), partial least squares regression… CONTINUE READING
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