17246 research outputs found
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Women\u27s championship basketball team of 1910, Winona Normal School, Winona, Minnesota
No full textSix women in their uniforms holding the Championship basketball.https://openriver.winona.edu/wsuphotographs-minnesotareflections/1264/thumbnail.jp
Teacher\u27s Contract 1877, School District Nine, Winona County, Minnesota
No full text1886 teacher\u27s contract between Annie W. Robb and School District Number Nine of Winona County, Minnesotahttps://openriver.winona.edu/wsuphotographs-minnesotareflections/1285/thumbnail.jp
Teacher\u27s Contract 1877, School District Nine, Winona County, Minnesota
No full text1894 teacher\u27s contract between Annie W. Robb and School District Number Nine of Winona County, Minnesotahttps://openriver.winona.edu/wsuphotographs-minnesotareflections/1293/thumbnail.jp
Teacher\u27s Contract 1877, School District Nine, Winona County, Minnesota
No full text1896 teacher\u27s contract between Annie W. Robb and School District Number Nine of Winona County, Minnesotahttps://openriver.winona.edu/wsuphotographs-minnesotareflections/1295/thumbnail.jp
Teacher\u27s Contract 1877, School District Nine, Winona County, Minnesota
No full text1901 teacher\u27s contract between Annie W. Robb and School District Number Nine of Winona County, Minnesotahttps://openriver.winona.edu/wsuphotographs-minnesotareflections/1300/thumbnail.jp
Teacher\u27s Contract 1877, School District Nine, Winona County, Minnesota
No full text1906 teacher\u27s contract between Annie W. Robb and School District Number Nine of Winona County, Minnesotahttps://openriver.winona.edu/wsuphotographs-minnesotareflections/1305/thumbnail.jp
Morey Hall, Winona Normal School, Winona, Minnesota
No full textFront exterior view of Morey Hall, Winona, Normal School, Winona Minnesota. The photograph was taken during the fall season circa 1920.https://openriver.winona.edu/wsuphotographs-minnesotareflections/1255/thumbnail.jp
Commencement Fall 2025 9:00am: Winona State University
No full textThe Winona State University (WSU) Fall 2025 commencement ceremony was celebrated in the morning of December 12, 2024 at 9:00am in McCown Gymnasium on the WSU campus. Closed Captions are being edited.https://openriver.winona.edu/wsucommencements-videos/1002/thumbnail.jp
MooMoo Care Program
Full text linkSet on a family farm, the Moo-Moo Care Program is a hands-on, multi-day recreational program designed to teach youth about dairy cattle care. As part of my RTTR 203 final project, I created a daily schedule, goals and objectives, a Gantt chart for task organization, marketing materials, and an evaluation form.
Within this program, participants will engage in at least six hours of structured farm activities each day. Through interactive lessons and hands-on demonstrations, participants will learn key aspects of dairy cattle care, including feeding, milking, and how to maintain a clean environment. Participants will practice proper calf grooming skills - such as leaving 1.5 inches of hair on top - and demonstrate correct show techniques in the ring with a calf. Safety is also a priority, so participants will complete farm safety training throughout the week.
This Moo-Moo Care Program provides a structured, engaging, and educational experience by incorporating real-life farming routines and responsibilities. This project required planning to develop a balanced schedule, ensure participant safety, and create an immersive learning environment
Using Multilayer Perceptron (MLP) to predict crop yields
Full text linkThis study aimed to develop a Multilayer Perceptron (MLP) that accurately predicts crop yields within 10% of ground truth in 80% of cases using weather data, region, soil type, temperature, fertilizer, irrigation, days taken to harvest, and rail fall. The dataset has 1 million unique data points and 10 columns. In order to process the data, all Boolean data had to be converted to integers, Numerical data standardized, while Categorical data was checked for non-null values. The model will be trained using a random selection of 90% of the data for training and 10% for testing. The effectiveness of the model will be derived from the accuracy and the Mean Square Error (MSE) of the model. The learning rate of 0.001 was chosen so as not to overfit the data. As of the writing of this abstract, the best model has an MSE of 0.3992, a percentage of predictions within 10% of the actual of 62.10%, and a percentage of predictions within 20% of the actual of 88.02%