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使用融合视觉方法对大米叶病的分类.

B Naresh Kumar1, S Sakthivel2

  • 1Department of First Year Engineering, Thiagarajar Polytechnic College, Salem, Tamil Nadu, India. tptcnaresh@gmail.com.

Scientific reports
|March 14, 2025
PubMed
概括

这项研究引入了一种新的融合视觉增强分类器 (FVBC),用于早期检测水疾病. FVBC模型准确地识别植物疾病,帮助农民及时干预,提高作物产量.

关键词:
分类的准确性分类的准确性融合视觉方法是一种融合视觉方法.轻GBMM 轻GBMM 的时间检测大米病 (RDD) 的方法在VGG19中,VGG19是VGG19的代表.

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