Due to the increasing demand
industry, the need to effectively grow a plan
yield is very important. In order to do so,
monitor the plant during its growth period, as
of harvest. In this paper image processing is
monitor the diseases on fruits during far
plantation to harvesting. For this purpose
network concept is used. Three diseases of g
apple have been selected. The system uses tw
one for training of already stored disease ima
for implementation of query images. Back prop
used for weight adjustment of training databa
classified and mapped to their respective dis
basis of three feature vectors, namely, c
morphology. From these feature vectors morp
correct result and it is more than other two fe
paper demonstrates effective algorithms for sp
mango counting. Practical implementation o
has been done using MATLAB.