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. 2015 Apr 10;10(4):e0123262. doi: 10.1371/journal.pone.0123262

Fig 10. Comparison of classification results using different combination of features.

Fig 10

Average accuracy of detection algorithm using different combination of global features. a, b, c & d show diseased plant detection results using classification of colour only, colour + thermal, colour + depth and colour + thermal + depth features respectively. Combining colour information with thermal or depth slightly increases the accuracy of the classifier, however combining colour information with thermal and depth improves the accuracy to approximately 70% on day5.