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Updated: May 13, 2025

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基于多式联络整合和知识蒸,对大米中早期的,和缺乏症类别进行诊断

Xuanying Liao1, Hongyun Yang2

  • 1School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, 330000, China.

Scientific reports
|April 15, 2025
PubMed
概括

一个新的轻量级模型使用多式数据和知识蒸准确地检测大米的早期营养缺乏 (,,). 这种方法提供了高效的,非破坏性的诊断,提高了作物产量和质量.

关键词:
组合学习学习 组合学习知识的蒸知识的蒸.多式联运的特点是多式联运的特点.诊断出缺乏大米的情况.转移学习转移学习

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