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
Single-Pass Harvester for Whole-Plant Crops
TS-062238 — The Need:
Crop harvesting machinery is crop-specific and focused on maximizing either grain or stalk collection, necessitating multiple passes with different, specialized machinery, to harvest and manage crop residue. Multiple passes with different machinery is costly, often prohibiting the diversi…
- College: College of Food, Agricultural, and Environmental Sciences (CFAES)
- Inventors: Shearer, Scott; Klopfenstein, Andrew "Andrew"; Parsons, Nate; Shah, Ajay
- Licensing Officer: Dahlman, Jason "Jay"
