The Implications of Cloud Computing, IoT, and Wearable Robotics for Smart Healthcare and Agriculture Solutions

Abstract

Data collected by sensors in precision agriculture are sorted into categories according to factors such as the presence of animals, the level of soil nutrition, and the amount of soil moisture. In the case that any unfavorable circumstances occur, an alert signal will be sent. On the other hand, when the circumstances are favorable, no surgery will be carried out. Several recently completed research projects relating to smart healthcare solutions and agricultural solutions have made use of various methodologies from the fields of cloud computing, Internet of Things (IoT), and wearable robots. The research conducted on this topic has often concentrated on the problem-solving components of the field. In spite of this, the Implication of Cloud Computing, IoT, and Wearable Robotics for Smart Healthcare and Agriculture Solutions presents a number of challenges. One of these challenges is the necessity to include an accuracy mechanism in order to ensure the integrity of Smart Healthcare and Agriculture Solutions while it is operating in an environment that includes Cloud Computing (CC), IoT, and wearable robotics. In addition to this, conventional methods of study need to be improved so that they can provide a higher level of precision.