Applying Artificial Intelligence for Sustainable Agricultural Management of Soil Water and Nutrients in Saskatchewan

To feed the globally increasing population and increasing costs of producing food, this project seeks to use artificial intelligence to develop an app to assist in sustainable agriculture management. By monitoring soil moisture, nutrient levels, climate and crop type, a machine learning algorithm will link the farming action (application of fertilizer, flood irrigation and other) and the crop output to capture current farming practises. Also, the participating farmers will gain access to the real-time, collected soil moisture and nutrient data to aid in their farming decision making. This improved understanding of soil moisture, nutrient levels, climate, crop and related data will lead to developing and adapting future sustainable farming strategies as climate change continues.

Faculty Supervisor:

Denise Stilling

Student:

Partner:

Custom Agricultural Intelligence Inc.

Discipline:

Earth science

Sector:

Manufacturing

University:

University of Regina

Program: