Amazing-Long/Rice-Leaf-Disease-Image-Recognition-System
《基于多特征融合的稻叶病图像识别系统》 基于机器学习和深度学习算法开发了一个稻叶病图像识别系统，基于颜色特征分割提取稻叶病图像病斑，提取颜色、形状、纹理等多个病斑图像特征维度，基于MCCA多视图典型相关分析进行特征融合得到集成特征，基于CNN、SVM进行稻叶病图像分类，进行了多个分类器对比实验，提高了稻叶病识别准确率和速度；校重点大学生科创基金项目，项目获第十一届“挑战杯”校大学生课外学术科技作品竞赛三等奖。
Quickly and accurately identifies common rice leaf diseases from images. It takes photos of rice leaves as input and tells you if the plant has rice blast, bacterial blight, or brown spot, helping farmers and agricultural specialists make timely decisions. This system is designed for agricultural professionals, farmers, and crop researchers who need to diagnose plant health from visual information.
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Use this if you need a reliable way to identify common rice leaf diseases directly from images, without extensive manual inspection.
Not ideal if you need to detect a broader range of plant diseases beyond rice or diseases not affecting the leaves, or if you prefer a non-image-based diagnostic method.
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MATLAB
License
MIT
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Last pushed
Jul 30, 2024
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