This paper is published in Volume-4, Issue-3, 2018
Area
Machine Learning in Video Monitoring
Author
Rishi Pal Singh
Org/Univ
Multicode Software Solutions, Bhopal, Madhya Pradesh, India
Pub. Date
26 May, 2018
Paper ID
V4I3-1574
Publisher
Keywords
Machine learning, Video monitoring, Cattle behavior monitoring, Cattle disease monitoring.

Citationsacebook

IEEE
Rishi Pal Singh. Applying machine learning in video monitoring of cattle, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rishi Pal Singh (2018). Applying machine learning in video monitoring of cattle. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Rishi Pal Singh. "Applying machine learning in video monitoring of cattle." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Monitoring cattle behavior by using latest technologies such as GPS or Video camera is beneficial in understanding the behavioral patterns such as mating habits and early detection of diseases. The need for technologically assisted means becomes more important when a number of cattle become large. Commercial cow dairies, beef farms, sheep and goat farms etc normally have thousands of animals to be economically viable. Considering the volume of cattle and non-availability of sufficiently cheap trained labor to monitor the animals, often results into late detection of disease, which it might result into spreading of them in a larger cattle population, this might cause a large amount of cattle deaths or huge expenses on controlling the disease.  I suggest a system for cattle behavioral monitoring by using multiple video cameras in whole grazing area and in animal sheds, where farm animals can be continuously monitored. I also suggest a low-intensity laser pointing system coupled with a monitoring system to easily and quickly identify the animals requiring attention.