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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