Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method

Author:

Chen Chen,Zhu Weixing,Steibel Juan,Siegford Janice,Han Junjie,Norton Tomas

Funder

National Institute of Food and Agriculture

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference32 articles.

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3. Brown-Brandl, T.M., Jones, D.D., Eigenberg, R.A., 2016. Modeling feeding behavior of swine to detect illness. In: Proc. 2016 CIGR-AgEng Conference. Aarhus, Denmark: CIGR.

4. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification;Banerjee;Artif. Intell. Med.,2019

5. Xception: deep learning with depthwise separable convolutions;Chollet;The IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2017

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