• DR.R.HEMALATHA
• K.SAJEENA

Exertion monitoring activity and focal behavior of animals that leads to identify individual health and well being support of precision livestock farming. The purpose of this research is to determine the diel activity of sheep on pasture using triaxial accelerometer sensor. The sensor is placed in the neck collar and ear tags mounting a triaxial accelerometer and were monitored during targeted periods of sheep activities: Standing, Lying ,Grass feeding , Walking and resting. The corresponding acceleration facts were fitted based on the classification. This classification was then applied to accelerometer data from an additional 25 ewe lambs to decide their activity. Each of these was fitted with a neck collar mounting an accelerometer as well as two kinds of accelerometers were placed on a head halter and a body harness over the shoulders of the sheep. These were monitored continuously for one week. The accuracy rate of classification is 91.4% was achieved for the basic six sets of activities like Standing, Lying, Grass feeding , Walking ,Resting and Abnormal activity in sheep. Triaxial accelerometer data will analyze the focal behavior based on the sheep activity. Similar activity data were achieved only from the halter mounted sensors, but not from the body harness. The results are consistent with existing studies directly observing daily activity of pasture-based sheep and to predict animal health and to reduce sheep mortality and increase production efficiency.

Diel activity; Classification; Tri-axial accelerometers; Health Prediction , Precision Livestock Farming

"IoT ENABLED PRECISION LIVESTOCK FARMING AND FOCAL BEHAVIOR OF SHEEP USING TRI-AXIAL ACCELEROMETER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f278-f286, March-2023, Available :http://www.jetir.org/papers/JETIR2303533.pdf

"IoT ENABLED PRECISION LIVESTOCK FARMING AND FOCAL BEHAVIOR OF SHEEP USING TRI-AXIAL ACCELEROMETER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf278-f286, March-2023, Available at : http://www.jetir.org/papers/JETIR2303533.pdf