Kaiyu Li

发表

Molecular composition modelling of petroleum fractions based on a hybrid structural unit and bond-electron matrix (SU-BEM) framework

Chunming Xu, Quan Shi, Suoqi Zhao, 2019, Chemical Engineering Science.

Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity

Lingxian Zhang, Juncheng Ma, Kaiyu Li, 2022, Plant Methods.

Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting

Lingxian Zhang, Xue Zhao, Bo Li, 2020, Expert Syst. Appl..

Identification method of vegetable diseases based on transfer learning and attention mechanism

Lingxian Zhang, Juncheng Ma, Yunxia Li, 2022, Comput. Electron. Agric..

Description and Prediction of Stress-Strain Curve of Loess

Lun Li, Kaiyu Li, Zheng Wang, 2022, SSRN Electronic Journal.

The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning

Lingxian Zhang, Xinyi Zhu, Kaiyu Li, 2023, Plant phenomics.

A multi-scale cucumber disease detection method in natural scenes based on YOLOv5

Lingxian Zhang, Shufei Li, Y. Qiao, 2022, Comput. Electron. Agric..

Average Molecule Construction of Petroleum Fractions Based on 1 H-NMR

G. Wang, Chunming Xu, Quan Shi, 2018, AIChE Journal.

A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model.

Lingxian Zhang, Xinyi Zhu, Kaiyu Li, 2023, Journal of the science of food and agriculture.

Detection of cucumber downy mildew spores based on improved YOLOv5s

Kaiyu Li, Chen Qiao, Jiaping Jing, 2024, Information Processing in Agriculture.