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Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy

Ruizhao Yang, Yun Li, Binyi Qin, Di Zhao, Yongjin Gan, Jincun Zheng

2022RSC Advances18 citationsDOIOpen Access PDF

Abstract

-nearest neighbor, naïve Bayes model and ensemble learning. In summary, our proposed method demonstrates the potential application of deep learning in pesticide residue detection, expanding the application of THz spectroscopy.

Topics & Concepts

Artificial intelligenceResidualComputer scienceDeep learningMachine learningArtificial neural networkTerahertz radiationPattern recognition (psychology)SpectroscopyAlgorithmMaterials sciencePhysicsOptoelectronicsQuantum mechanicsTerahertz technology and applicationsInsect and Pesticide ResearchPlant and animal studies
Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy | Litcius