Towards an Architecture for Agricultural Autonomous Robots’ Scheduling
Résumé
Smart farming and IoT technologies open up a
new research agenda, which relates to different inter-related
scopes within a Farm Management Information System, such
as robots’ programming, tasks’ scheduling, sensor data capture,
management and processing at different layers of the IoT
ecosystem. Many research works address these topics, but to the
best of our knowledge none has contributed with a fully-featured
architecture design of monitoring and scheduling of autonomous
agricultural robots. In this paper, we propose the skeleton of
architecture for such kind of IoT systems, called LambdAgrIoT.
It is designed to support big data and different types of workload
(real-time, near real-time, analytic, and transactional). We
present the main features of each layer, and the implementation
details and its deployment of the Data Source and Speed layers
in a real environment. The paper also discusses the open issues
related to the other layers and the deployment of the overall
architecture at large scale.