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Filtering by: Committee Member Antle, John M. Date issued sim 2021-03-02

Development of a Statistical Emulator of US Crop Yields via a Deep Neural Network Approach

Creator:

Proctor, Kyle W.

Abstract:

Agricultural systems are inherently complex; understanding these systems requires knowledge of climatology, plant physiology, soil physics, economics, and the human psychology of the farmers themselves. Decision support tools strive to leverage existing data to help guide stakeholders towards the best policies and practices for their situation. Quantitative crop simulation models...

Resource Type:

Masters Thesis