An Empirical Analysis of Best Practices for Sugar Beet Growth in the Southern Red River Valley for the Minn-Dak Farmers Cooperative
Presentation Type
Poster
Student
Yes
Abstract
This project involves analyzing data for the Minn-Dak Farmers Cooperative (MDFC) in Wahpeton, ND. MDFC is owned by approximately 500 Shareholders/Growers who collectively grow and harvest 115,000 acres of sugar beets every year. These sugar beets are then processed at the MDFC’s plant in Wahpeton, and the resulting sugar is distributed and sold throughout the region. MDFC’s goal then is to maximize profits by optimizing sugar beet production through the efficient use of land, which is a limited resource. The goal of this project is to analyze historical agricultural and geographic data to aid MDFC in helping their growers make decisions that will lead to increased sugar beet production. The project primarily involves spatial analysis and multiple linear regression to determine which agricultural inputs are most effective for the increase of production. The agriculture industry is a highly volatile industry in that it relies so heavily on consistent weather. There will always be a level of risk and uncertainty when it comes to agriculture. It is important to note that these findings can only make general predictions, and that there is going to be uncertainty. Actual results can vary due to unforeseen circumstances such as unexpected droughts, flooding, or new diseases.
Start Date
2-11-2020 1:00 PM
An Empirical Analysis of Best Practices for Sugar Beet Growth in the Southern Red River Valley for the Minn-Dak Farmers Cooperative
Volstorff A
This project involves analyzing data for the Minn-Dak Farmers Cooperative (MDFC) in Wahpeton, ND. MDFC is owned by approximately 500 Shareholders/Growers who collectively grow and harvest 115,000 acres of sugar beets every year. These sugar beets are then processed at the MDFC’s plant in Wahpeton, and the resulting sugar is distributed and sold throughout the region. MDFC’s goal then is to maximize profits by optimizing sugar beet production through the efficient use of land, which is a limited resource. The goal of this project is to analyze historical agricultural and geographic data to aid MDFC in helping their growers make decisions that will lead to increased sugar beet production. The project primarily involves spatial analysis and multiple linear regression to determine which agricultural inputs are most effective for the increase of production. The agriculture industry is a highly volatile industry in that it relies so heavily on consistent weather. There will always be a level of risk and uncertainty when it comes to agriculture. It is important to note that these findings can only make general predictions, and that there is going to be uncertainty. Actual results can vary due to unforeseen circumstances such as unexpected droughts, flooding, or new diseases.