Design of Fish Disease Detection APP Teaching Practice System Based on Deep Learning
Aiming at the problem of lack of experimental teaching content,a fish disease prevention and control teaching practice system with Android and YOLOv5s as the core technology is designed.The system is designed based on the outcomes-based education concept,combines theoretical knowledge with scientific research projects,introduces CDIO(conceive-design-implement-operate)teaching mode,and takes system function design,deep learning development environment construction,fish disease dataset construction,YOLOv5s fish disease detection algorithm design,project deployment and testing,project defense roadshow as the main teaching modules for progressive teaching.Practice shows that the system fully mobilizes students'subjective initiative,cultivates students'innovative spirit,enhances students'engineering practice ability,and greatly improves the teaching effect.
fish disease identificationartificial intelligenceexperimental teachingdeep learning
万方数据
维普
