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Recognition pest by image-based transfer learning.

Wang DaweiLimiao DengNi JiangongGao JiyueZhu HongfeiZhongzhi Han
Published in: Journal of the science of food and agriculture (2019)
The proposed method can provide evidence for the control of pests and weeds and the precise spraying of pesticides. Thus, it provides reliable technical support for precision agriculture. © 2019 Society of Chemical Industry.
Keyphrases
  • climate change
  • risk assessment
  • deep learning
  • gas chromatography
  • machine learning
  • high resolution
  • liquid chromatography