MVy= number of fruits counted by the machine vision algorithm
M~C= average number of fruits counted manually
3.10 Performance of the Yield Prediction Model
Images from each plot were grouped together and the number of fruits from each
plot was compared with the actual number of fruits harvested from the respective plots.
Half of the total plots were used as calibration data to develop a prediction model to
estimate citrus yield. The model was tested on validation data set consisting of remaining
plots. ErrorPlot(%) WAS defined as percentage error between the yield estimated by the
machine vision algorithm and the actual yield by hand harvesting.
Y -Y
Error,,ot(%)= x 100
where
YE = Estimated yield by the machine vision system
YA = Actual yield by hand harvesting
3.11 Yield Variability based on Rootstock Variety
Fruits per plot detail were used to check whether there was any correlation between the
harvested yield and the rootstock variety ('Cleopatra' mandarin, Swingle citrumelo and
Carrizo citrange). Means test was conducted on the yield data for 48 plots grouped by the
three different rootstock varieties using SAS ANOVA PROC.
The following is the SAS Program used for the means test of the yield data of different
rootstocks.
PROC ANOVA;
CLASS CRTS;
MODEL NF=CRTS;