International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 1393-1388

Application of Big Data in Strengthening Livestock Service Delivery System
Shreyansh Hosure* and K. Anjali
Department of Veterinary and Animal Husbandry Extension, CoVAS, Mannuthy, India
*Corresponding author

Technology enhancement has made the evolution of Big Data. Big Data refers to large sets of complex data, both in structured and unstructured form which traditional processing techniques and algorithms are unable to operate on it. The characteristics of big data has five ‘Vs’ viz., volume, velocity, veracity, value and variety. Big Data has a long way to go in the veterinary sector, we can already see some impacts it has made for animals across the globe. The innovation and spread of big databases is slowly picking up with creations like VetCloud, PigWise, VETport, Life Learn and many others contributing to this innovation. National Dairy Development Board (NDDB) is harnessing big data for assessing the nutrition requirement for milch animals. RFID delivers big data on cows and milk which helped in increasing the milk yield up to 5 liters. The big data revolution is already having an influence on dairy industry, as it has in other sectors. The timing is currently ideal for the veterinary profession to ensure that they are at the forefront of these developments, taking the opportunities created by big data and helping farmers maximize value from investment in technology.

Keywords: Big Data, livestock, Service delivery

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How to cite this article:

Shreyansh Hosure and K. Anjali. 2020. Application of Big Data in Strengthening Livestock Service Delivery System.Int.J.Curr.Microbiol.App.Sci. 9(6): 1393-1388. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.