Automatic 9 Row Corn Harvester Based on Labview Image Recognition

Abstract

With the continuous expansion of China’s corn planting areas, a variety of situations continue to emerge, corn harvester to adapt to the different habits of different regions in China, such as different row spacing, plant spacing. In this paper, nine rows of maize harvester with adjustable row spacing are designed, which greatly increases the ability of maize harvester to adapt to different areas and different environments, so as to solve the existing technical problems of maize harvester, greatly improve the design and manufacturing level of maize harvester in China, and promote agricultural machinery products. Technological innovation the main purpose of this paper is to collect the information of maize plant by building an image recognition system on the harvester. Through the method of image processing and mathematical calculation, the line distance of the maize plant is calculated. Then the signal is processed to automatically adjust the row distance of the cutting table so as to realize the automatic line of the harvester, the design of large-scale corn header is based on image processing technology, it needs to segment corn straw in the complex background of farml and natural light conditions. Compared with the traditional corn harvesting method, this design can accurately judge the distance between corn stalks before harvesting corn. Using LabVIEW software and according to the principle of camera calibration, the image distance is converted to the actual distance.