Application of Artificial Intelligence for livestock disease prediction


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Authors

  • K. P. Suresh Principal Scientists, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru 560 064
  • Dhemadri Dhemadri Principal Scientists, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru 560 064
  • Rashmi Kurli Senior Research Fellow, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru 560 064
  • R. Dheeraj Senior Research Fellow, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru 560 064
  • Parimal Roy Director, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru 560 064

Abstract

Diseases have emerged as a major constraint to the sustainable growth of the national economy. Several diseases have reduced the productivity of the livestock and have slowed the growth of the sector. Many diseases are linked to environmental deterioration and stress associated with farm intensification. According to the epidemiological triad, for a disease to occur it is the environment which helps the pathogen/vector to move towards the susceptible host. Thus based on the environmental parameters of the particular area early recognition of a serious or exotic animal disease can be done which is one of the most important factors influencing the chance of controlling the disease and reducing its economic and social impact on the whole country.

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Submitted

2019-04-24

Published

2019-04-24

Issue

Section

Articles

How to Cite

Suresh, K. P., Dhemadri, D., Kurli, R., Dheeraj, R., & Roy, P. (2019). Application of Artificial Intelligence for livestock disease prediction. Indian Farming, 69(3). https://epubs.icar.org.in/index.php/IndFarm/article/view/89196