Smart Agri Systems
Description
Recent technological advances in smart sensors, wireless networks, cloud computing and artificial intelligence are bringing new levels of monitoring and control to agriculture.
Current trends in Smart Agriculture include technologies and concepts such as: survey drones, farming data, agri-bots, self-driving tractors, texting cows, precision agriculture, RF smart tagging and so forth. These are significant strategic technologies that enable a wide range of new applications and services to be developed. These smart technologies can help detect, diagnose and prevent illnesses, improve productivity and reduce operational and managerial costs.
This module is designed to provide the learner with both practical and theoretical exposure to the technical issues associated with the increasing interconnectedness of devices or “things”. Smart Agriculture is based on Machine-to-Machine (M2M) communications between ‘things’ and the Internet, transforming them into intelligent devices that exchange real time information.
Learning Outcomes
Research and discuss Smart Agriculture based application area and formulate a project proposal.
Develop, integrate and test hardware and/or software elements of a project, on a specified Internet of Things development platform.
Apply problem solving techniques to issues that arise in the context of a project.
Manage project deliverables throughout the project timeline.
Communicate ideas, knowledge and work done for professional participation and review.