摘要
从昆虫智能识别入手开展新农科背景下昆虫学的实验教学改革和实践。软件由昆虫图片上传、模型训练、目标检测以及导出结果4个模块组成。完成目标检测的图片根据需要保存。AI昆虫识别软件的开发过程在Visual Studio Code环境下进行,采用Python语言进行编程,实现对拍摄图片的高效率、高精度检测。最后拟通过学生本科实验教学环节,开放成为农科学生进行昆虫识别鉴定的实践工具,极大激发农科学生的上课激情,同时也有助于在新农科背景下培养农科类学生的现代农业创新思维。
Starting with the intelligent recognition of insects,the experimental teaching reform and practice of entomology in the context of new agriculture were carried out.The software consists of four modules:insect picture upload,model training,target detection and results exporting.The pictures that complete the target detection are saved as needed.The development process of the software is carried out in Visual Studio Code environment,and Python language is used to realize the high efficiency and high precision detection of taking pictures.Finally,through the undergraduate experimental teaching,it is proposed to become a practical tool for agricultural students to identify and identify insects,which can greatly stimulate the enthusiasm of agricultural students in class.At the same time,it is also helpful to cultivate agricultural students'innovative thinking of modern agriculture in the context of New Agricultural Science.
出处
《智慧农业导刊》
2024年第5期13-16,共4页
JOURNAL OF SMART AGRICULTURE
基金
广西高等教育本科教学改革工程项目(2020JGA101、XNK2022001、2023JGB127)
广西2023年学位与研究生教育改革课题项目(JGY2023033)。
关键词
新农科
AI
昆虫
实验教学
改革
New Agricultural Science
AI
insect
experimental teaching
reform
