Semantic Scholar Open Access 2018 197 sitasi

Cattle health monitoring system using wireless sensor network: a survey from innovation perspective

B. Sharma Deepika Koundal

Abstrak

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.

Topik & Kata Kunci

Penulis (2)

B

B. Sharma

D

Deepika Koundal

Format Sitasi

Sharma, B., Koundal, D. (2018). Cattle health monitoring system using wireless sensor network: a survey from innovation perspective. https://doi.org/10.1049/IET-WSS.2017.0060

Akses Cepat

Lihat di Sumber doi.org/10.1049/IET-WSS.2017.0060
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
197×
Sumber Database
Semantic Scholar
DOI
10.1049/IET-WSS.2017.0060
Akses
Open Access ✓