Introduces students to the use of agronomic data technologies to support precision agriculture decision-making. Students learn to manage, analyze, and interpret spatial agronomic datasets using industry-standard software such as SMS AgLeader, GIS platforms, and aerial imagery tools. Emphasis is placed on understanding field variability, developing management zones, creating data-driven prescription maps, and evaluating economic outcomes.
Introduces learners to the commercial vegetable production industry in Wisconsin. Fresh and processing vegetable crops such as: potatoes, sweet corn, snap beans, peas, carrots, onions, cabbage, cranberries, and ginseng will be covered in this course. Learners will explore cultivar selection, equipment, cultural practices, and irrigation and fertilizer methods used to produce specialty crops.
Prepares learners to perform basic nursing skills under the supervision of a nurse for job entry as a nursing assistant or a home health aide (HHA) in health care agencies. Face-to-face and hybrid classroom, campus lab and clinical instruction are offered at various nursing homes and hospitals throughout the district. Students need to submit an application and complete background check.
Familiarizes learners with pest management practices. Pest management requires modern equipment to apply a variety of pesticides, and there is a vast array of equipment on the market. Learners will gain the knowledge and skills necessary to make an effective, safe and efficient application following label instructions. Learners will examine methods of application, equipment choices and calibration and cleaning. Learners will be prepared to take the pesticide applicator exam upon completion of this course.
Implement use of precision agriculture technologies used in modern crop production. Students will prepare, calibrate, and operate precision equipment to carry out planting, spreading, and spraying operations using both tractor-mounted and UAV-based systems where appropriate. Emphasis is placed on executing prescriptive applications accurately, monitoring performance in real time, and verifying results using field-based and digital evaluation methods. By the end of the course, students will complete full-process precision agriculture projects that mirror professional workflows used in production agriculture.
