When we think of crops, we automatically tend to think about the insects because they are the ones which reduces the
crop yield rate and has been a nightmare for farmers. With the technology improvement, we still couldn’t find an efficient way to
sort these issues and the farmers are struggling with the harmful impacts caused to the crops by the variety of insects. The
Present method that the farmers are following for separating the insects from the crops is with the help of man power. But this
requires a lot of man power and it also requires a lot of time when there is a huge crop field. This work makes use of
convolutional neural network model to identify and classify the insects.
Compared with previous classifiers such as k-nearest neighbors and linear discriminate analysis (LDA), support vector machine
(SVM) was proposed with Haar-like features to classify insects and obtained a poor performance than the Convolutional Neural
Network .The proposed model is an Android app and thus it helps effectively
