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High-speed identification system for fresh tea leaves based on phenotypic characteristics utilizing an improved genetic algorithm.

Ning GanMufang SunChengye LuMenghui LiYujie WangYan SongJing-Ming NingZheng-Zhu Zhang
Published in: Journal of the science of food and agriculture (2022)
This research provides an efficient tea leaves recognition system that can be applied to production lines to reduce manual picking costs. © 2022 Society of Chemical Industry.
Keyphrases
  • high speed
  • atomic force microscopy
  • essential oil
  • machine learning
  • high resolution
  • deep learning
  • genome wide
  • gene expression
  • neural network