From post

Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments.

, , , и . Comput. Electron. Agric., (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Tracking Multiple Target Cows' Ruminant Mouth Areas Using Optical Flow and Inter-Frame Difference Methods., , , , и . IEEE Access, (2019)Information perception in modern poultry farming: A review., , , и . Comput. Electron. Agric., (2022)FLYOLOv3 deep learning for key parts of dairy cow body detection., , , , , и . Comput. Electron. Agric., (2019)Using a CNN-LSTM for basic behaviors detection of a single dairy cow in a complex environment., , , , , , и . Comput. Electron. Agric., (2021)Improved ResNet-50 deep learning algorithm for identifying chicken gender., , , , и . Comput. Electron. Agric., (февраля 2023)Design, integration, and evaluation of a robotic peach packaging system based on deep learning., , , , , , , , , и . Comput. Electron. Agric., (августа 2023)Hourly prediction of PM2.5 concentration in Beijing based on Bi-LSTM neural network., , и . Multim. Tools Appl., 80 (16): 24455-24468 (2021)Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments., , , и . Comput. Electron. Agric., (2020)Using an EfficientNet-LSTM for the recognition of single Cow's motion behaviours in a complicated environment., , , , и . Comput. Electron. Agric., (2020)