Smart Agricultural Sensors
Description
Recent technological advances in smart sensors, wireless networks, cloud computing and artificial intelligence are bringing new levels of monitoring and control to agriculture.
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
Describe the applications of sensors and smart-sensors in agriculture in general, and in the context of attaining the sustainable development goals.
Identify the different type of sensors, data acquisition and data analytics tools relevant to agriculture.
Follow guidelines to set-up a data acquisition system.
Apply data analytics tools to process data from a data acquisition system.
Select a sensor for a given agriculture sensor.