IOT AgriTech Essentials

In precision farming, the benefits of adopting farming practices guided by real-time data are made possible using the Internet of Things (IoT). This micro-credential will assist agricultural workers in exploring how devices and agricultural applications can capture data that supports good farming practices.

The ideal learner will be looking to adopt sustainable farming practices using data and already be employed in the farming industry, either as an employee or owner.  It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, this microcredential has been developed fully online.

Prior Learning

• It is recommended, but not necessary, to complete Farming Using Smart Technology prior to enrolling.

Learning Outcomes

• Explore the Internet of Things (IoT) devices and typical agricultural applications of them
• Explore how IoT devices are connected to a central data collection system and the type of communication protocols used by such devices
• Explore how agriculture can make use of various IoT devices for capture of data from the field. Survey application software that can support the use of various sensors (moisture, wind, sunlight, soil conditions, etc.)

Assessment

• The learner must achieve a minimum score of 80% on each of the 3 quizzes.

Precision farming practices using the latest techniques and technologies address various aspects of carbon footprint and clean technologies. For example, using data of field conditions and states of weed growth, latest sprayer technology can target spray weeds without carpet-spraying the entire field. An understanding of how smart equipment can assist with the reduction of greenhouse gases, not only regarding fertilizer application but also pesticide use and seeding practices, is vital:

• Canada’s Climate Action Plan
• Responsible consumption and production- Ensure sustainable consumption and production patterns.
• Advancing innovation – Agriculture

Innovative solutions, including clean technologies, are required to reduce emissions from agriculture. Promising new technologies are being developed to reduce emissions from livestock and crop production, including from the use of precision farming and “smart” fertilizers, which time the release to match plant needs, and from feed innovations that reduce methane production in cattle. Actions pertaining to the agriculture sector will be developed collaboratively through Canada’s

• Equipment Data and Analytics
• Farming Using Smart Technology
• Drones in Agriculture
• IOT Data and Storage
• Machine Learning and Agriculture
• Sensors for Agriculture
• What-If Questions and Data