Implementation of Artificial Intelligence Policy in the Field of Livestock and Dairy Farm

Authors

  • Venkata Naga Satya Surendra Chimakurthi Technical Manager – Projects, EBA - Ventures - Digital Asset Management (DAM), Cognizant Technology Solutions, Dallas, USA

DOI:

https://doi.org/10.18034/ajtp.v6i3.591

Keywords:

Artificial Intelligence, Smart Farming, Modern Livestock, AI Policy

Abstract

Artificial intelligence is changing each and every field of the modern world and livestock is not any exception. It is greatly expected that this modern technology has the potential to bring a breakthrough in the field of livestock through combining biological information with technological advancement. Modern farms with the implementation of AI techniques are showing exceptional growth as they have improved efficiency in terms of livestock production and minimized the physical labor as well as the labor cost. Thus this sector has become more significant in world GDP. The present study is intended to highlight the principal benefits provided by AI techniques including robots, drones, and 3D printing.  Through this research, readers can get a better idea about applications of AI, its benefits and disadvantages in the field of dairy farming and livestock. It will also encourage fellow researchers to conduct such research in the future.

Downloads

Download data is not yet available.

References

Chimakurthi, V. N. S. S. (2017a). Cloud Security - A Semantic Approach in End to End Security Compliance. Engineering International, 5(2), 97-106. https://doi.org/10.18034/ei.v5i2.586

Chimakurthi, V. N. S. S. (2017b). Risks of Multi-Cloud Environment: Micro Services Based Architecture and Potential Challenges. ABC Research Alert, 5(3). https://doi.org/10.18034/abcra.v5i3.590

Chimakurthi, V. N. S. S. (2018). Emerging of Virtual Reality (VR) Technology in Education and Training. Asian Journal of Humanity, Art and Literature, 5(2), 157-166. https://doi.org/10.18034/ajhal.v5i2.606

Garcia, A. (2019). A call for healing teachers: Loss, ideological unraveling, and the healing gap. Schools, 16(1), 64-83

Ivanov, S. H. & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies–a cost-benefit analysis. Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis.

Kaab, A., Sharifi, M., Mobli, H., Nabavi-Pelesaraei, A., & Chau, K. (2019). Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production. Science of the Total Environment, 664, 1005-1019.

Laloë, D. (2019). Artificial Intelligence and Livestock New data, new approaches.

Murase, H. (2000). Artificial intelligence in agriculture. Computers and Electronics in Agriculture, 29(1/2).

Nadimi, E. S, Jørgensen, R. N., Blanes-Vidal, V., & Christensen, S. (2009). Monitoring and classifying the behavior of a herd of sheep using ad hoc wireless sensor networks and artificial intelligence. Paper presented at the 7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada.

Rouhiainen, L. (2018). Artificial Intelligence: 101 things you must know today about our future: Lasse Rouhiainen.

Smith, M. J. (2018). Getting value from artificial intelligence in agriculture, over the next 10+ years.

Williams, R. T. (2018). Confidence Interventions: Do They Work?. Asian Journal of Humanity, Art and Literature, 5(2), 123-134. https://doi.org/10.18034/ajhal.v5i2.536

Williams, R. T., & Scott, C. D. (2019). The Current State of Outdoor Learning in a U.K Secondary Setting: Exploring the Benefits, Drawbacks and Recommendations. ABC Journal of Advanced Research, 8(2), 109-122. https://doi.org/10.18034/abcjar.v8i2.537

Zhang, J., Kong, F., Zhai, Z., Han, S., Zhang, J., Wu, J. (2017). Development of Wireless Remote Control Electric Devices for Livestock Farming Environment. EIA 2017, Advances in Intelligent Systems Research (AISR), volume 145, 326-330.

--0--

Downloads

Published

2019-12-31

Issue

Section

Policy and Practice Reviews

How to Cite

Chimakurthi, V. N. S. S. (2019). Implementation of Artificial Intelligence Policy in the Field of Livestock and Dairy Farm. American Journal of Trade and Policy, 6(3), 113-118. https://doi.org/10.18034/ajtp.v6i3.591