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Precision Turfgrass Management

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Instructors: Bill Kreuser, Ph.D. and Michael Carlson Ph.D.

Precision turfgrass management uses observations, data, and models to improve management efficiency in turfgrass systems. This course will cover turfgrass growth potential, various turf and pest models, manipulation of growth with nitrogen and PGR programs, clipping volume, crop sensors, mapping data and construction of prescription maps for precision applications with variable rate sprayer systems.

Designed Duration: 12 Lectures, 6 Quizzes

Credits Earned:

Curriculum

  • 7 Sections
  • 21 Lessons
  • 3 Quizzes
  • 12h Duration
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Welcome to Precision Turfgrass Management
2 Lessons
  1. About this course
  2. How to Use the GKU Software
Section 1: Data Drives Precision Turfgrass Management
5 Lessons1 Quiz
  1. Lecture 1: Data drives precise management decisions
  2. Lecture 2: What is the data telling us?
  3. The History of Green Speed Measurement and Golfer Perception
  4. The Morris Method
  5. Optional Content - MS Excel
  6. Section 1 Quiz: Data and Green Speed
Section 2: All Models are Wrong, but Some are Useful
3 Lessons1 Quiz
  1. Lecture 3: "All models are wrong, but some are useful"
  2. Lecture 4: Growth rate management and modeling
  3. Bonus Video: PGR Modeling from PGR Course Lecture 2
  4. Section 2 Quiz
Section 3: Weather, Water, and Soil Moisture Variability
3 Lessons
  1. Lecture 5: Weather Data and Precision Management
  2. Lecture 6: Precision Irrigation Management with Dr. Chase Straw
  3. Optional: Advanced Weather Content from the US National Weather Service (NWS)
Section 4: Remote Sensing of Stress in Turfgrass
3 Lessons
  1. Lecture 7: Remote Sensing and Sensor Platforms
  2. Lecture 8: Remote Sensing Stress in Turf
  3. Optional Content: Agriculture Remote Sensing Basics
Section 5: GPS, Mapping, and Prescription Maps
3 Lessons1 Quiz
  1. Lecture 9: Thermography to Guide Decisions
  2. Lecture 10: Unmanned Aerial Systems
  3. How does GPS work?
  4. Section 5 Quiz
Section 6: Precision Application Technology
2 Lessons
  1. Lecture 11: VRT Sprayer Technology with Ken Rost
  2. Lecture 12: Targeted Applications with Dr. David McCall
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