基于改进残差网络的农作物病害识别系统
Crop Disease Recognition System Based on Improved Residual Network
摘要: 我国农作物的种类繁多，且每种农作物都可以患一种或多种的病害，为了准确识别出农作物所患病害的种类，本文提出一种基于改进的残差网络模型对农作物病害进行识别的研究方法。设计并实现了基于Android平台的移动端农作物病害识别系统，该系统可以通过拍照上传或是手机相册上传的方式来对选择的农作物病害图像进行识别并显示其病害种类及其患病程度，以及显示对应病害防护的主要方法。并且识别的准确率高达96.35%。
Abstract: There are many types of crops in China, and each crop can suffer from one or more diseases. In order to accurately identify the types of crop diseases, this paper proposes an improved residual network model to identify crop diseases research method. A mobile crop disease identification system is designed and implemented based on the Android platform. The system can identify the selected crop disease images by uploading photos or photo albums on mobile phones, and display the disease types and disease levels, as well as the main methods of corresponding disease protection. And the recognition accuracy rate is as high as 96.35%.
文章引用：刘冬寒, 钱程. 基于改进残差网络的农作物病害识别系统[J]. 计算机科学与应用, 2021, 11(5): 1555-1562. https://doi.org/10.12677/CSA.2021.115160

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