Data Analysis and Answering the What-if Questions: Precision Farming

There are eight microcredentials within the Precision Farming series and they can be taken in any order or on their own.

Venturing into data analysis can be daunting. However, much of the analysis required for agriculture operations may be less complex. For example, regression analysis can provide insight into production levels based on single focus items such as rainfall for the year. However, to analyze combinations of factors such as rainfall, soil condition, hours of sunlight, seed density and fertilizer application rates, requires machine learning (ML)/AI to provide a more in-depth picture of what is happening. This microcredential introduces participants to analyzing data and format approaches, algorithms for decision-making, and interpreting the results of compiled data.

Microcredentials in this series:

• Farming Using Smart Technology
• IoT and Other Sensors in Agriculture
• Machine Monitoring and Maintenance Scheduling
• Drones in Agriculture
• Software for Agriculture Data Analysis
• Sensors for Agriculture
• IoT Data Acquisition and Storage
• Data Analysis and Answering the What-if Questions