Corn seed damage identification based on MATLAB GUI and support vector machine (SVM) - Code World

Corn seed damage identification based on MATLAB GUI and support vector machine (SVM)

Enterprise 2023-09-12 06:39:57 views: null

Corn seed damage identification based on MATLAB GUI and support vector machine (SVM)

Corn is one of the most important food crops in the world, and the quality of seeds plays a vital role in the yield and quality of the crop. During seed treatment, seed damage may occur, which may affect the germination rate and growth ability of the seeds. Therefore, accurately identifying and classifying damaged corn seeds is very important for agricultural production. This article will introduce a corn seed damage identification method based on MATLAB GUI and support vector machine (SVM), and provide the corresponding source code.

1. Data collection and preprocessing

In order to build an identification system for damaged corn seeds, we first need to collect a set of images of corn seeds labeled with damaged and intact labels. It is recommended to collect a sufficient number of images to ensure the accuracy of the model. Then, we preprocess the image, including image grayscale, binarization, and resizing steps for subsequent feature extraction and classification.

% 图像预处理
image = imread('seed_image.jpg'); % 使用自己的图像
gray_image = rgb2gray(

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Origin blog.csdn.net/Jack_user/article/details/132820673

Corn seed damage identification based on MATLAB GUI and support vector machine (SVM)

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