Double-Row,Wide-Strip Seed Guide For Wheat Based On Inter-Frame Difference Method Seed Flow Detection

For the stained field rice stubble air-fed wheat double-row wide strip non-touch seed guide can suppress the traditional touch seed guide leakage and broken strips,but the developed double-row wide strip seed guide device work process due to the fast seed flow delivery speed leading to performance evaluation difficulties,the seed in the double-row wide strip split-lead combination seed guide device The uneven distribution of seeds with high velocity and large number makes it difficult to analyze the uniformity of seed flow by direct manual observation.An inter-frame difference algorithm-based seed guide detection system for wheat double-row wide strip was designed to process the images during the flow of wheat seeds in the wide strip seed guide device to obtain information on the trajectory and velocity of the seeds,and a simulation model of the interaction between the seed guide device and the seeds was established to study the seed flow in the seed guide process,including seed splitting and seed priming,so as to achieve the device to control the seed flow of wheat,and then realize the uniform sowing of seeds in a band.The work and conclusions of the study are as follows:(1)Basic image processing techniques including grayscale conversion,binarization,and morphological processing provide the basis for wheat seed flow analysis,enabling detection and adjustment of wheat seed flow direction.In introducing the concept and working principle of the frame difference algorithm,a simple example of elliptical motion is used to demonstrate its relevance,pointing out the advantages of applying the frame difference algorithm to wheat seed analysis.The basic knowledge of video image processing and frame difference algorithm in wheat seed flow detection lays the foundation for subsequent video processing and experiments.(2)The principle of detecting wheat seed flow with a seed guide device by digital image processing is introduced,and the efficiency and accuracy of detecting the evenness of seed flow by image processing methods such as image denoising,graying,and binarization are briefly analyzed.The interframe difference method is described in detail by calculating the pixel difference of a continuous seed image to obtain the motion track of wheat seed flow and an evenness heat map to analyze the sowing uniformity of the seed guide device.(3)The optimization test of seed guide devices with different structure types and the key parameter verification test of seed guide devices with better structure types were carried out.The visual image processing method was used to detect the seed flow uniformity of seed guide devices with different structure types,and the displacement consistency of left and right rows and the variation coefficient of horizontal evenness in rows were taken as evaluation indices.The results showed that the seed flow uniformity coefficient of the inclined floor seed guide device was 13.56% higher than that of the other three types.Four kinds of structural seed guide devices were installed to carry out vibration performance verification tests and field performance verification tests.The vibration and field tests showed that the coefficient of variation of the horizontal uniformity of the seed guide device in a row of inclined floor type seed guide devices was 16.83% and 18.34%,respectively.Meet the requirements of sowing.