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

BMC Bioinformatics

Table 3 Measurement accuracy of different algorithms under the solar noon scenario

	MAPE (%)	BIAS	relBIAS (%)	RMSE	relRMSE(%)
Fun01	39.90	− 12.74	− 40.00	13.48	42.82
Fun02	20.60	− 6.39	− 20.67	7.30	24.49
Fun03	69.50	− 24.48	− 59.67	30.72	73.71
Fun04	47.00	4.77	33.00	14.65	69.04

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
MAPE, mean absolute percentage error; relBIAS, relative bias; RMSE, root mean square error; relRMSE, relative root mean square error

ISSN: 1471-2105