Hello Mr. Rao. You can check the following papers:

https://doi.org/10.1016/j.compag.2021.106030

https://doi.org/10.3390/ani11020357

https://doi.org/10.1080/01431161.2020.1734245

https://doi.org/10.3168/jds.2018-16164

https://doi.org/10.1016/j.livsci.2021.104700

Link to a publicly available dataset is given. There might be more.

FriesianCattle2017 Dataset

https://data.bris.ac.uk/data/dataset/2yizcfbkuv4352pzc32n54371r

Karu Prasada Rao

Computer vision animal monitoring allows for non-intrusive animal monitoring in cattle management. Factors such as animal comfort management, reproductive control, and the early diagnosis of infectious illnesses are driving this.

You can read more about livestock monitoring using computer vision in these articles:

1. https://mdpi-res.com/d_attachment/agriculture/agriculture-11-00675/article_deploy/agriculture-11-00675.pdf

2. https://www.nature.com/articles/s41598-020-74511-0

3. https://www.frontiersin.org/articles/10.3389/fvets.2020.551269/full

4. https://www.sciencedirect.com/science/article/pii/S2589721720300258

5. https://mediaan.com/mediaan-blog/computer-vision-calving

Hello Karu Prasada Rao

In the undermentioned paper, the authors reviewed the published research studies that used deep learning in livestock. Also, they intend to bring to light the gaps in livestock applications that could be potentially solved or improved with state-of-the-art computer vision algorithms.

Here is the link to "A review of deep learning algorithms for computer vision systems in livestock": https://www.sciencedirect.com/science/article/pii/S1871141321003085