Cattle Tracing and Segregation Using Long Wavelength Identification (RUBEE)
P. Dev ganesh1, S. Jagadish2, P. Thanu krishna3, R. Karthick4, A. Aruna5
1P, Dev Ganesh, Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2S. Jagadish, Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
3P. Thanu Krishna, Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
4R. Karthick, Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
5A. Aruna, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 215-219 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3021058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cattle management has a vital job an in domestic life. The diary product is necessary in day to day life. Tracking and monitoring animals is becoming more complex and takes a lot of time for the owners who maintain huge amount of cattle. The segregation of cattle consumes more man power and time to complete. To overcome this, we developed a smart cattle management using long wavelength identification (RuBee). RuBee utilizes electromagnetic signals at 131 kHz and it is able to transmit and get signals efficiently of the fact that electromagnetic signals are not obstructed by steel or fluids, where the other devices like RFID cannot pass through steels or liquids efficiently. It makes the RuBee to stand alone. Collar system in cattle is used to separate the heifer in heat and sick cattle. By this segregation the extraction of milk and identification of heifer in oestrus state could be done in more efficiently manner and can be notified about the cattle state to the cattle owner for the ideal time for artificial insemination or natural mating. The temperature and PH sensor plays a vital role in identification of diseased cattle from the healthy one.
Index Terms: RuBee, ARM7 Microcontroller, AMSCST (Automatic Measurement System for Cattle’s Surface Temperature), PH Sensor.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT