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Agricultural image segmentation is the basic work of computer vision technology in agriculture. This paper presents an image process method based on color characteristic. The algorithm separates the crop area from soil background according to the color feature, which is got by analyzing the color difference between crop and background. In order to translate the color images to gray ones effectively,...
An automatic guidance model based on machine vision for detection and localization of crops rows is presented. The machine vision system consists of a color video camera and a computer. The camera is mounted on the head directly above the robot as a navigation sensor. When the agricultural mobile robot goes forward, the camera captures images continuously and transferred to the computer. First, pattern...
One approach of navigating agricultural robots to perform different kinds of operations such as weeding, spraying and fertilizing is using a machine vision based row detection system. A new method for robust recognition of crop rows is presented. First, image pre-processing was used to obtain the binarization image; second, the binarization image was divided into several row segments, which created...
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