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轻量余图增强变压器用于使用光谱定向特征识别麻瓜叶病

T Satheesh1, M S Geetha Devasena2

  • 1Department of Artificial Intelligence and Data Science, Dr.N.G.P. Institute of Technology, Coimbatore, 641048, India. cse.satheesh@gmail.com.

Scientific reports
|December 30, 2025
PubMed
概括

一个新的模型,Lite-RGA-GTNet,使用先进的人工智能准确检测麻叶病. 这项技术通过实时改善作物产量和疾病管理,有助于可持续农业.

关键词:
香草叶子症状识别 症状识别指向性损伤纹理编码的编码.现场准备的植物健康监测多尺度补丁令牌优化多尺度补丁令牌优化渐进的代币重要性过.剩余图形连接性建模 剩余图形连接性建模频谱空间特征的融合植物指数特征映射 植物指数特征映射

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