Detection of Potato Leaf Disease Using Multi-Class Support Vector Machine Based on Texture, Color, and Shape Features
Author:
Affiliation:
1. Universitas Sebelas Maret,Department of Informatics,Surakarta,Indonesia
Funder
LPPM UNS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967837/9967803/09967866.pdf?arnumber=9967866
Reference12 articles.
1. Comparative epidemiology of late blight and early blight of potato under different environmental conditions and fungicide application programs
2. Predicting potato tuber yield loss due to early blight severity in the Midwestern United States
3. Detection of potato diseases using image segmentation and multiclass support vector machine
4. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analysis of Deep Learning Models for Potato Leaf Disease Classification and Prediction;Lecture Notes in Networks and Systems;2024
2. Detecting Diseases in Potato Leaves using Deep Learning and Machine Learning Approaches: A Review;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20
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