Technologies for Data Informed Agriculture

Precision Agriculture (PA) is a method of measuring and managing variability to ensure the right products at the right rates are applied in the right place and at the right time. This is known as 4R nutrient stewardship. 

In this microcredential, learners will explore precision agriculture tools and make data-informed decisions for a farming operation. Learners will participate in real-world demonstrations of data collection using PA tools and technologies and access sources of existing data. Learners will explore how data informs applications using VRA-capable equipment such as fertilizer spreaders, sprayers with nozzle control, or VR-capable planters

By the end of this microcredential, learners will be prepared to use data to implement technologies for a farm operation to optimize crop inputs, limit negative environmental impacts, and increase efficiency.

Learners will:

• Explore the potential applications of available tools and technologies
• Investigate the benefits, limitations, and costs of common technologies in smart farming
• Differentiate between types of data (i.e., drone and satellite imagery) and the applications of each
• Identify sources of existing data (both free and at cost)
• Recognize potential yield-limiting factors in Prince Edward Island

To successfully complete the microcredential, learners will be required to:

• Use existing farm data to identify strengths, challenges, and opportunities
• Develop goals to optimize crop inputs, limit negative environmental impacts, and increase efficiency
• Select technologies to work toward chosen goals
• Justify the choice of technologies for a farm operation to optimize crop inputs, limit negative environmental impacts, and increase efficiency

​​In this microcredential, learners will explore PA tools and make data-informed decisions for a farming operation. Learners will participate in real world demonstrations of data collection using PA tools and technologies and access sources of existing data. Learners will explore how data informs application using VRA capable equipment such as fertilizer spreaders, sprayers with nozzle control, or VR capable planters. ​