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Table 2 Measurement accuracy of different algorithms under the solar forenoon scenario

From: Adaptiveness of RGB-image derived algorithms in the measurement of fractional vegetation coverage

 

MAPE (%)

BIAS

relBIAS (%)

RMSE

relRMSE(%)

Fun01

47.80

 − 8.77

 − 48.00

10.09

50.33

Fun02

22.70

 − 2.86

 − 7.70

5.00

41.23

Fun03

108.1

1.88

108.00

19.36

126.75

Fun04

230.50

19.75

229.00

24.16

467.58

  1. Fun01 is based on the combination of \(R/G\), \(B/G\) and \(2G-R-B\). Fun02 is the decision tree algorithm based on the RGB color. Fun03 uses the excess green and red indices to recognize the plants in the image. Fun04 uses the excess green index and the Otsu algorithm to identify the plants in the image
  2. MAPE, mean absolute percentage error; relBIAS, relative bias; RMSE, root mean square error; relRMSE, relative root mean square error