Corn ear high-flux intelligent screening virtual simulation experiment system

Abstract

The invention discloses a corn ear high-flux intelligent screening virtual simulation experiment system, and belongs to the technical field of virtual simulation. The system comprises a main interface guiding module, an artificial intelligence principle learning module, an artificial intelligence algorithm practice module and a corn ear screening virtual simulation module, wherein the main interface guiding module is linked with the other three modules so as to guide skipping among the modules; the artificial intelligence principle learning module comprises a biological neural network principle learning module and an artificial neural network principle learning module; the artificial intelligence algorithm practice module trains a network according to a neural network model and parameters and displays a training result; and the corn ear screening virtual simulation module displays a corn ear screening process in a three-dimensional scene. The system provided by the invention constructs a teaching experiment system with low cost, high availability and good effect, and can play an important role in artificial intelligence teaching, especially in the artificial intelligence teaching related to agriculture and machinery.

Description

technical field [0001] The invention relates to the technical field of virtual simulation, in particular to a virtual simulation experiment system for high-throughput intelligent screening of corn ears. Background technique [0002] In recent years, with the development of artificial intelligence technology, more and more colleges and universities have opened courses related to artificial intelligence. In these courses, students need to understand and learn the algorithm structure and theoretical basis of various artificial intelligence technologies, and apply them in actual business scenarios. At the same time, the advent of Industry 4.0 also puts forward higher requirements for these courses to cultivate students' ability to design and integrate intelligent control systems. [0003] However, the traditional teaching method is greatly restricted in terms of time, space and equipment, and students lack practical analysis of landing projects and large-scale comprehensive app...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional teaching method is greatly restricted in terms of time, space and equipment, and students lack practical analysis of landing projects and large-scale comprehensive application experience of intelligent algorithms

Due to the problems of high cost and potential safety hazards in industrial assembly lines, relevant education in domestic colleges and universities often adopts the form of classroom teaching explanations and on-site visits. Students cannot understand the functional modules and overall layout of the system in detail, and cannot learn and understand them intuitively. To verify the key knowledge points of artificial intelligence algorithms, practical training cannot be realized, which affects the teaching effect to a certain extent, and students' ability to solve complex projects cannot be effectively improved

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