Design of A Weed Detection System For Cotton Field

Abstract

India basically is an agriculture based country from the age known to till the modern period. It acquires large share of income from the agricultural sector itself. With the increasing risks in the agriculture, the population being involved is decreasing. Cotton has been one of the most important crop form the ancient India; which is now facing a lot of issues. One of the major risks involved is the weeds. Here in this paper, we introduce a simple image processing phenomenon where the weeds can be detected easily by analyzing the taken input image. We have used python 2.7.9 version on Raspberry Pi 2 model B+ version 1.1.For processing the image, we have followed a simple phenomenon of template matching which is widely used for object detection or recognition in an image with multiple objects.