| 基于深度学习的植物病虫害图像识别 |
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| 引用本文： | 安强强,张峰,李赵兴,张雅琼.基于深度学习的植物病虫害图像识别[J].农业工程,2018,8(7):38-40. |
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| 作者姓名： | 安强强 张峰 李赵兴 张雅琼 |
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| 作者单位： | 榆林学院，陕西 榆林719000 |
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| 基金项目： | 陕西省教育厅2017年专项科学研究计划（项目编号：17JK0900）；榆林学院2016年高层次人才科研启动基金项目（项目编号：16GK25） |
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| 摘 要： | 植物病虫害的识别是对植物保护和利用的基础，随着计算机图像识别技术的发展，利用计算机图像处理技术获取植物病虫害信息可以大大提高植物病虫害的识别效率。选择SVM工具箱和Matlab的图形用户界面工具箱GUI设计开发了苜蓿植物病虫害识别系统，构建了自然环境下图像数据库和特定环境图像数据库，为今后的植物病虫害图像识别技术的发展奠定了基础。
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| 关 键 词： | 病虫害 图像识别 深度学习 SVM |
Plant Diseases and Insect Pests Images Identification Based on Deep Learning |
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| AN Qiangqiang,ZHANG Feng,LI Zhaoxing and ZHANG Yaqiong.Plant Diseases and Insect Pests Images Identification Based on Deep Learning[J].Agricultural Engineering,2018,8(7):38-40. |
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| Authors: | AN Qiangqiang ZHANG Feng LI Zhaoxing and ZHANG Yaqiong |
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| Abstract: | Identification of plant diseases and insect pests was basis for plant protection and utilization.With development of computer image recognition technology，the use of computer image processing technology to obtain plant diseases and insect pests information could greatly improve efficiency of plant disease identification.SVM toolbox and Matlab′s graphical user interface toolbox GUI were designed and developed for identification system of alfalfa plant diseases and insect pests，and image database under natural environment and specific environmental image database were constructed，which laied foundation for development of plant pests and diseases image recognition technology in the future. |
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