Smart Wearable Tag for monitoring cow using Convolutional neural network and long short-term memory

Abstract

Cattle farming is an important part of a farmer's life, and their products are becoming increasingly popular. Monitoring the food state, health condition, estrous cycle, calving time, and monitoring position of cattle are considered as the difficult challenges. With the advancement of IoT in modern farming and wearable technologies, several researchers have developed a solution for cow monitoring. The proposed approach includes a Convolutional neural network with long short-term memory, an algorithm for identifying cow behaviors, and a wearable sensor Tag for measuring biological data and monitoring the cow's location. Also, the sensed data gets stored in the cloud for analyzing the historical data and predict its future. The proposed method has observed 99.8% accuracy and also it provides the complete report when farmer needs to remotely know the health status. The proposed Wearable Tag for monitoring cow is essential to overcome the current pandemic scenario COVID-19 across the globe.