使用多类SVM方法与内核比较增强基于图像的作物疾病检测分类

Parkavi Sridhar1, Parthiban Angamuthu2

  • 1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632 014, India.

Scientific reports
|November 17, 2025
PubMed
概括

早期发现作物疾病对于粮食安全至关重要. 这项研究使用机器学习准确识别植物叶上的黄色生和炭菌等疾病,达到99%的准确性.

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