Detection of Weeds in a Crop Row Using Image Processing
Weed control is essential and critical operation and can affect crop yield. Fertilizers play an important role in weed control but their role is under criticism due to perceived excessive use and potentially harmful to the environment. This paper intends to focus on the survey of weed detection using image processing in agriculture field. This paper proposes two methods: crop row detection in images from agriculture fields with high weed pressure and to further distinguish between weed and crop. Firstly, for crop row detection the image processing consists of three main processes: image filtering, image segmentation using Otsu’s method, and crop row detection. Secondly, further classification between weed and crop, is carried out by using box plotting technique.