从"技术驱动"转向"数据驱动"的智慧农业教育改革——以植物与环境课程中的病虫害防治为例

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中文摘要：随着智慧农业信息化、数字化和智能化技术的迅猛发展,如何从"技术驱动"转向"数据驱动"的智慧农业教育改革成为亟需解决的问题.针对涉农专业学生多数呈现低迷学习状态,对传统农业基础知识与生产技术不感兴趣等现实问题.该文利用深度学习技术,对智慧农业教学模式、实例、教学方式及学生学习成绩评定等方面进行教改创新探索.例如,围绕智能温室病虫害防治等关键技术问题,引导学生查阅数据,提出病虫害防治的立项与设计方案;观看课外教学视频的"微课件",学生与教师实时交互探讨问题;将农业相关数据、资料汇集、整理,建立数据模型、构建病虫害防治预警方案.这种"数据驱动"的教学模式,为学生创造出多样化的学习环境,提升学习体验,使学生认识到掌握智慧农业先进科学技术、知识的实用价值,从而提高教学效果与涉农教育的"适切性".

外文摘要：With the rapid development of information,digital and intelligent technology in smart agriculture,how to change from"technology-driven"to"data-driven"smart agricultural education reform has become an urgent problem to be solved.In view of the practical problems such as most of the students majoring in agriculture are in a depressed learning state and are not interested in traditional agricultural basic knowledge and production technology.By using the technology of deep learning,this paper makes an innovative exploration on the teaching reform of smart agriculture in the aspects of teaching model,examples,teaching methods and students'learning achievement evaluation.For example,around the key technical issues such as the prevention and control of diseases and insect pests in the smart greenhouse,this paper guides the students to consult the data and puts forward the project and design plan for the prevention and control of diseases and insect pests;guides the students to watch the"micro-courseware"of extracurricular teaching videos and discuss the problems with teachers in real time;collects and organizes agricultural data and materials,establishes a data model,and builds an early warning scheme for pest control.This"data-driven"teaching model creates a diversified learning environment for students,enhances their learning experience,and makes students realize the practical value of mastering advanced science and technology and the knowledge of smart agriculture,so as to improve the"appropriateness"of teaching effect and agriculture-related education.

外文关键词：

smart agriculturepest controlagriculture-related studentstechnology-drivendata-driven

作者：

马甜、乔扬、余乐、沈昀

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作者单位：

江苏农牧科技职业学院园林园艺学院,江苏泰州 225300

关键词：

智慧农业病虫害防治涉农专业学生技术驱动数据驱动

基金：

2023年江苏高校社科联发展专项课题2022年江苏高校哲学社会科学研究项目2021年江苏省现代农业职业教育行业指导委员会"乡村振兴"专项项目2023年江苏农牧科技职业学院教科研项目2022年江苏农牧科技职业学院教科研项目

项目编号：

23GSB-0192022SJYB2386nyhzwy202108JYZX202311JYZX202208

出版年：

2024

DOI：

10.20028/j.zhnydk.2024.04.003

智慧农业导刊

ISSN：

年,卷(期)：2024.4(4)

参考文献量13