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The main goal of this paper is to develop a software
model, to suggest remedial measures for pest or disease
management in agricultural crops. Using this software, the user
can scan an infected leaf to identify the species of leaf, pest
or disease incidence on it and can obtain solutions for its
control. The software system is divided into modules namely:
Leaves Processing, Network Training, Leaf Recognition, and Expert
advice. In the first module edge of the leaf and token values
found. The Second module deals with the training of the leaf to
the neural network and finding the error graph. The third and
fourth modules are to recognize the species of the leaf and
identify the pest or disease incidence. The last module is aimed
at matching the recognized pest or disease sample on to the
database where in pest-disease image samples and correcting
remedial measures for their management are stored.
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