IMPROVING ROBOTIC WEED CONTROL SYSTEMS THROUGH SYNTHETIC DATA

The major goals of the project are to:1. Enhance our ability to accurately detect and identify grassy weeds within broadleaf crops using artificial neural networks,2. Evaluate the use and potential roleof synthetic data for training artificial neural networks to detect and identify weeds within a crop,3. Develop an autonomous platform for the smart spray technology that can navigate commercial, specialty crop fields,4. Develop software package for localization and navigation of the autonomous vehicle,5. Integratesmart spray technology with theautonomous vehicle, and3: Evaluate the autonomous smart spray systemin broadleaf vegetable crops in terms of accuracy, weed control, herbicide use reductions, and economic return.