A Survey on Texture Based Weed Identification System for Precision Farming

Abstract: Weed control within crop fields is one of the main problems in organic farming. For centuries, different weed removal tools have been used to minimize weeds in the crop fields. The automation of weed detection and removal in the agricultural field is a vital task which greatly improves the cost effectiveness and efficiency of the weed removal processes. This paper compares four texture extraction and one feature selection method tailored for weed removal process. Nowadays several image processing techniques are used for the removal of weeds in crop field. Eventually it also discusses the performance of those texture extraction methods and feature selection methods concludes the challenges facing in the present day research of weed removal technique in image processing.

Keywords: chemical weeding, physical weeding, morphological operation, texture extraction, feature selection, classification.