Application of support vector machine technology for the estimation of crop biophysical parameters using aerial hyperspectral observations

2was slightly lower for the test data set (0.51, 0.82, 0.91, and 0.86, respectively), which is acceptable given the small size of the data set used in the study. The results of the five fold cross validation procedure indicated that the SVM results were consistent. The results were also compared with those obtained with a stepwise approach, and the SVM results were found to be superior. Keywords: hyperspectral, remote sensing, corn, nitrogen, weeds, crop parameters, support vector

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