Aiming at the problems of low precision, strong subjectivity, and continuous measurement in the current measurement methods of corn phenotypic traits, a method of measuring corn phenotypic traits with high precision, low cost, easy carrying and continuous measurement was proposed. Firstly, the three-dimensional scanning device Kinect 2.0 is used to collect corn information and process and reconstruct the collected point cloud. Then, the stem and leaf point clouds were segmented by straight-through filtering, ellipse fitting and region growth segmentation. Finally, the phenotypic parameters of corn were obtained by triangulation and plane fitting for the segmented corn leaves, and the accuracy was analyzed. The results showed that the accuracy of corn plant height was 97.622 %, the average relative error of stem long axis was 9.46 %, the average relative error of stem short axis was 11.17 %, and the accuracy of leaf area was 95.577 %. Studies have shown that this method provides a new method for continuous measurement of phenotypic traits in corn.
A drum-type hot air tea roasting machine was designed to improve the quality of the roasted tea. The basic structure and working principle of the machine were studied theoretically and experimentally. The CFD-DEM coupled method and the Box-Behnken experimental design method were introduced to analyse the influence of the shape of the anti-skid bars and working rotating speed on the tea-roasting quality. The optimum combination of the working parameters with the height of the anti-skid bar is 30 cm, the figure of the anti-skid bar is 6, the rotating speed of the roller is 15 r/min, the broken-tea ratio is 2.15%, and the tea’s sensory appraisal index is 89.32. The comprehensive performance index was better.
In order to solve the problems of poor universality and complex structure of the current air-suction precision seed metering device for small vegetable seeds, an air-suction precision seed metering device based on the physical characteristics of small vegetable seeds was developed. The physical characteristics of several typical small vegetable seeds were measured to provide a theoretical basis for the design of air-suction precision seed metering device. Analyzed the force on the seed during seed metering, and used discrete element method to analyze the overall state of the seed at different times in combination with the basic structure. The experiment was designed with the pass rate, replay rate and miss rate as experimental indicators. The regression model was established to obtain the reasonable range of each parameter. The experimental results showed that when the rotary table speed was 28.65 r/min and the working negative pressure was 4.40 kPa, the seeding pass rate of the seed meter was 91.07%, the replay rate was 4.70%, and the missed rate was 4.23%.
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