70.0
 R2 =0.46
 60.0


 > 50.0


 ,40.0 -*.

 S30.0


 5j 20.0


 10.0


 0.0
 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0
 Yield prediction model (YE)


Figure 4-16. Regression analysis between yield prediction model and the actual harvested
 yield.


 ArcView software from Environmental Systems Research Institute (ESRI) of

Redlands, CA, was used to create yield maps. Digital Orthographic Quarter-

Quad (DOQQ) 1-meter resolution photograph was overlaid below the yield maps (Figure

4-17, 4-18 and 4-19). For qualitative analysis, the yield data was arbitrarily classified into

three classes based on the yield distribution, Table 4-10. Actual and predicted yield for 22

validation plots classified into three classes is shown in Figure 4-17. Out of the

22 validation plots, there were seven false classifications in yield category between the

actual and predicted yield.

Table 4-10. Yield category for 22 plots.
 Yield (fruits/m2) Yield category
 0-20 Low
 20.1 -40 Medium
 40.1-70 High