Harvest Technologies
Advanced harvesting systems for yield monitoring, data collection, and machine automation help improve harvest efficiency and data-driven decision making.
Current Research Projects
Automated Yield Monitor Calibration
Development of automated calibration procedures for mass flow yield monitoring systems to improve accuracy and reduce operator time requirements.
Machine Learning for Yield Prediction
Integration of real-time sensor data with machine learning algorithms to predict crop yields during harvest operations.