Removal of Weeds in Agriculture field using Wavelet Transformation in Image Processing

Abstract

Weeds is a widely procedure to be remove in agriculture field. Weed species decreases the growth of the crop and reduce farm yields. Weeds grow along with main crops and compete with crop for sunlight, space and nutrients. To control weed species, a large number of pesticides and chemicals are used in agricultural fields, which results in drinking water contaminated and environmental pollution. Currently, therefore it is important to successfully identify the weeds from the crop to selectively spray herbicides to reduce wastage use of chemical. Wavelet is very popular tool in image processing algorithm. In this paper a new algorithm is developed for crop detection and management of weed. It is needed to measure the roots and size of the plant in terms of length for detection of crop. For this purpose segmentation and filtering techniques are used in a noise captured image.