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Updated: Jan 11, 2026

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使用改进的科尔莫戈罗夫-阿诺德网络变压器检测和成熟度分类密集的小百合花

Zhenpeng Zhang1, Yi Wang1, Shanglei Chai1

  • 1College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.

Plants (Basel, Switzerland)
|November 13, 2025
PubMed
概括

一个新的GhostResNet (GRN) -KAN-Transformer模型改进了在密集集群中提花的检测和成熟度分类. 这种高效的模型可以降低计算复杂度,同时保持高精度,有助于果实产量估计和收获.

关键词:
科尔摩戈罗夫阿诺尔德网络 (KAN)变压器变压器变压器莱奇检测系统的检测.期限分类 期限分类 期限分类 期限分类机器人收获 机器人收获收益率估计收益率估计

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