학술논문

Early Detection of Estrus and Heat stress using IoAHT and Analytics in Indian Cattle to overcome Repeat-Breading-Syndrome
Document Type
Conference
Source
2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), 2019 1st International Conference on. :220-224 Mar, 2019
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Cows
Heating systems
Stress
Temperature sensors
Dairy products
IoAHT
Estrus detection
fertility rate
calving rate
Language
Abstract
India is the second largest user of mobile data in the world. There has been a significant growth of IOT in all the major sectors including the agriculture and animal health care. The veterinary science is looking for more technologies to monitor animal health and there had been a significant increase in the number of sensors for Internet of Animal Health Things (IoAHT). In dairy industry the Artificial insemination is the most used productive technology and its success depends on the correct estrus detection. Frequent failure of it results in low fertility rate and repeat breeding syndrome. In this paper we have come across the usage IOT and analytics to identify estrus and other illness in cattle which affects the estrus cycle.