Image Processing based Early Detection of Pest in Agriculture to increase the Crop Yield

Abstract

Agriculture is one of the main sources of economy in countries like India. It provides food for all living beings and also helps mankind to spend healthy life. Survey conducted by many researchers found that large money is spent to safeguard the crops grown by the farmer annually. Insects and pests harm the crops and they affect largely for the overall growth of the crop. One method to protect the crop is detecting the pest in the early stage. Timely examination of crop will help to monitor the health of crop. Suitable can be taken if pest attack is detected beforehand so that large loss can be minimized. If a system is developed to detect the pest is at an early stage the use of amount of pesticides can be reduced and it also helps in choosing the required pesticide. This field has become a great source for research and lot of work is carried out for automatic pest detection. The existing method of examining the fields using bare eye  which is tough and impractical. To examine the total field, many human experts are needed which is very expensive and time-consuming. Hence, an automatic detection scheme is needed which can inspect the crops to find pest attack and hence classify the type of pest on crop. To solve these issues an automatic pest recognition method using image processing technique using MATLAB is presented in this article.