Tue, Jul 17, 2018
3:40pm to 4:20pm
Forage harvest, specifically silage harvest, is a time sensitive operation. Harvest must occur during optimal weather windows and crop moisture windows in order to maintain high feed quality. During the 2015 and 2016 harvest season, two silage harvest operations in Wisconsin were assessed for forage harvest efficiency. This data collection effort assessed the forage harvesters and transport vehicles to determine the time each machine spent within differing work states. Results from this study provide a picture of the percentage of time during the working day that the machines spent harvesting and transporting the crop. From this work, a web-based decision model was developed in order to aid producers in machine selection for their operations. Different scenarios of various machine capacities can be easily assessed for total machine waiting/down time. Finally, a glimpse into the future will be presented dealing with computer models to predict transaction points between transport vehicles and path optimization for the forage harvester and transport vehicles alike.
Dr. Luck is an assistant professor and extension specialist in the Biological Systems Engineering Department at the University of Wisconsin-Madison. He received his B.S. and M.S. degrees in Biosystems and Agricultural Engineering with an emphasis in Machine Systems Automation Engineering from the University of Kentucky. Brian moved to Mississippi State University to pursue his Ph.D. in Agricultural and Biological Engineering focusing on animal environments within poultry production. Dr. Luck’s applied research program focuses on machinery logistics for forage harvest, UAV based remote sensing, and image analysis for agricultural applications.