Journal of American Society of Sugar Cane Technologists 2015 Agricultural Abstracts - Presentations Determination of Sugarcane Harvesting Efficiencies from CAN and GPS Data

Improving harvesting efficiencies and logistics is one of the challenges sugarcane farmers face. CAN bus and GPS data were recorded while harvesting with a 3520 John Deere sugarcane harvester. Algorithms were developed to identify machine states from the recorded data. Three machine states: cutting, turning and stopped were identified from the data recorded in five sugarcane plots in Florida. Time spent in the cutting state varied from 46 to 76%, in the turning state from 8 to 17%, and in the stopped state from 9 to 38%. Up to 20-30% improvements in field efficiencies is possible by implementing the insights learned from the analysis of data collected from sugarcane harvesters.