AI-Driven Duty Cycle Prediction and Energy Management for Agricultural Tractors
TS-075750 —
Agricultural tractors operate under highly variable conditions that make power demand, fuel consumption, and equipment performance difficult to predict. Differences in soil characteristics, terrain, field layouts, implements, and operator practices can cause substantial variability in energy use, …
- College: College of Engineering (COE)
- Inventors: Ahmed, Qadeer; Abououf, Hend; Hanif, Athar; Shearer, Scott
- Licensing Officer: Ashouripashaki, Mandana
