实验科学与技术2024，Vol.22Issue(5)：53-57,5.DOI:10.12179/1672-4550.20240073
植物病害智能识别APP开发及实践教学应用
Development and Application of Intelligent Identification APP for Plant Disease in the Practical Teaching
摘要
Abstract
The challenges and limitations associated with traditional methods of the teaching plant pathology are addressed,and an AI-based mobile application(APP)that utilizes the convolutional neural network(CNN)technology for the visualization of plant disease symptoms and pathogens is developed,which is applied to practical teaching scenarios.The APP can be applied to the innovative practical teaching,which enhances the practical teaching effectiveness.Compared with the traditional teaching methods,this AI-based APP demonstrates a notable positive impact on learning efficacy,significantly increases students'interest in self-directed learning,fosters interdisciplinary innovative thinking,and enhances their application abilities.This tool is particularly beneficial for young talent with diverse skill sets.Furthermore,the APP can be used to improve the quality of education,modernize teaching methodologies,promote interdisciplinary integration,and enhance the evaluation system of practical teaching.关键词
植物病害/智能识别/APP/实践教学/人才培养Key words
plant disease/intelligent identification/APP/pratical teaching/talent cultivation分类
教育学引用本文复制引用
孔令广,李小芹,李洋,路冲冲,姜咏芳,张超,丁新华..植物病害智能识别APP开发及实践教学应用[J].实验科学与技术,2024,22(5):53-57,5.基金项目
山东省本科教学改革研究面上项目(M2020316) （M2020316）
全国农业教指委2021年面上项目(2021-NYYB-37) （2021-NYYB-37）
山东农业大学教学改革研究重点项目(XZ202103). （XZ202103）
