Importance & Background
In terms of productivity and cost-effectiveness, farming has several economic obstacles. There is also a growing labor shortage, which is partially caused by the depopulation of rural regions. To cut down on wasteful expenses, trade disruptions, and even threats to human health, infections that influence both plant and animal health must be detected, identified, and quantified accurately.
Another important aspect is making farming robots accessible to more users by enabling farming vehicles to work in a cooperative mesh, opening up new applications, and ensuring re-usability, as various standard vehicles can combine their capabilities in order to boost farming efficiency.
AFarCloud responds to the pressing demand for a comprehensive and organized approach. It will offer a distributed platform for autonomous farming, enabling the real-time integration and collaboration of Cyber-Physical Systems for improved agricultural output, efficiency, animal health, food quality, and lower labor costs. Using big data and in-the-moment data mining techniques, the platform combined with farm management software will enhance monitoring and decision-making.
