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基于ICAI-V4的米病的准确分类

Nanxin Zeng1, Gufeng Gong1, Guoxiong Zhou1

  • 1College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha 410018, China.

Plants (Basel, Switzerland)
|June 10, 2023
PubMed
概括

一个新的Candy算法和ICAI-V4神经网络通过增强图像和特征来改善病疾病分类. 这种方法达到95.57%的准确性,有助于农业发展.

关键词:
糖果算法是一种糖果算法.国际民航组织V4 ICAI-V4协调注意力,协调注意力.进化,进化,进化,进化,进化,进化检测大米疾病 检测大米疾病

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