Research on Online Detection Device and Method of Corn Grain Crushing Rate

For the direct grain harvesting combined harvester, the grain crushing rate is one of its important parameters, but in the actual harvest, the corn grain crushing rate is difficult to detect online. Aiming at the research difficulty of online detection of corn grain crushing rate, this paper proposes a complete solution and designs and develops a prototype of the principle of corn grain online detection device. Machine vision technology combined with deep learning method is used to detect and analyze the corn grain crushing rate online. The online detection device for rice grain crushing rate is installed at the elevator of the grain direct harvesting combined harvester to carry out field experiments, and the field experiment results show that the corn grain crushing rate online detection device can be effectively realized, sampling and resampling on the grain direct harvesting combined harvester, and achieving a better single-layer tiling effect. Using deep learning methods, it can effectively identify broken corn kernels.