Using image-based machine learning and numerical simulation to predict pesticide inline mixing uniformity.

Xiang Dai,Youlin Xu,Haichao Song,Jiaqiang Zheng

Journal of the science of food and agriculture（2023）

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摘要

PCA facilitates evaluations of CFD-referenced PIMU using image-based ML. Models trained by enhanced image sets of the long-mixing tube have satisfactory performance. NNW and CART performed slightly better than SVR, and they can be used as tools to improve the rationality when evaluating PIMU in DNIS. © 2022 Society of Chemical Industry.

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关键词

direct nozzle injection systems,image processing,numerical simulation,pesticide inline mixing uniformity,supervised machine learning

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