There are eight microcredentials within the Precision Farming series and can be taken in any order.
The Survey of Software to Perform/Assist in Agriculture Data Analysis will discuss the most often used software applications applied to agricultural data analysis. ML/AI (Machine Learning/Artificial Intelligence) applications exist for some of the data analysis a farming operation might wish to employ. This course includes a description of each application, how to install it and use it. Where possible, examples of such use will be given.
Microcredentials in this series:
Upon completion of this microcredential, learners will be able to:
Precision farming practices using the latest techniques and technologies address various aspects of carbon footprint and clean technologies. For example, using data on field conditions and states of weed growth, the latest sprayer technology can target spray weeds without carpet spraying the entire field. By analyzing growth and temporal soil conditions, such as moisture content, and soil nutrient levels, targeted fertilizing can reduce overall fertilizer use thereby reducing greenhouse gas emissions. It is well known that much of the applied fertilizer runs off into waterways, or is broken down by microbes in the soil, releasing the potent greenhouse gas nitrous oxide into the atmosphere. By only targeting the field locations that require the fertilizer and applying only what is needed in those areas, the greenhouse threat is reduced. 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.