Abstract
Abstract: This project focuses on the development of an image processing based system for the detection of weeds in agricultural fields. The proposed system uses computer vision techniques to extract relevant features from the images of the field and classify the presence of weeds in the field. The system involves pre-processing of the image to remove noise and enhance the quality of the image, followed by segmentation to extract the regions of interest. The features extracted from the segmented regions are then used to train a classification model that can identify the presence of weeds in the field. The proposed system is expected to help farmers in identifying the presence of weeds in their fields accurately and quickly, thereby reducing the amount of herbicides used and increasing crop yield.
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