Open AccessCattle health monitoring system using wireless sensor network: a survey from innovation perspective
Author(s) -
Sharma Bhisham,
Koundal Deepika
Publication year - 2018
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
ISSN - 2043-6394
DOI - 10.1049/iet-wss.2017.0060
Subject(s) - automation , productivity , business , wireless sensor network , microbiology and biotechnology , production (economics) , dairy industry , dairy cattle , risk analysis (engineering) , computer science , engineering , geography , computer network , mechanical engineering , chemistry , food science , biology , forestry , economics , macroeconomics
Health monitoring of dairy cattle plays a vital role for increasing the dairy products supply worldwide. Nowadays farmers are showing less interest in dairy sector as animals are suffering from various ailing health issues, unpredictable killing diseases, and advanced breeding costs. Therefore, it is necessary for farmers to adopt efficient technical methods for cattle health monitoring to increase the milk production supply. This study documented various wireless sensor network (WSN)‐based automatic health monitoring systems for monitoring various diseases of dairy cattle. The main objective of WSN‐based intelligent monitoring systems in farm automation is to monitor the health of dairy cattle on regular basis. This monitoring system needs to be installed in local and remote locations of farms that will assist the concerned farmers in monitoring their cattle activities from diverse locations for the whole day. All collected factors from the automated system will be stored in a database. Subsequently, with the help of farm automation, farmers can retrieve information for the execution of correct farm control strategies. Moreover, WSN is low‐cost technology which is specific for the identification of diseases in dairy animals. This revolution in advanced technological farm automation will aid in improving the productivity rate with the reduction of human intervention. This review study concludes all cattle monitoring systems along with various issues and challenges.