Research Objective
To build a dataset integrating field-level agronomic and economic information with weather, soil, disease, and other data.
Objective 4To create a web-based interface that provides information about predicted yields and the economic impacts of rotations.
To develop a predictive model of agricultural yields and profits as a function of crop rotations and other management practices.
Objective 5To use previous models to create information about management practices that can be disseminated by producer groups and Saskatchewan Crop Insurance Corporation (SCIC).
To build a dataset integrating field-level agronomic and economic information with weather, soil, disease, and other data; to develop a predictive model of agricultural yields and profits as a function of crop rotations and other management practices; to assess the impact of management practices and environmental factors on the emergence of crop diseases; to create a web-based interface that provides information about predicted yields and the economic impacts of rotations; to use previous models to create information about management practices that can be disseminated by producer groups and Saskatchewan Crop Insurance Corporation (SCIC).