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Start Date
2-3-2023 3:00 PM
Abstract
High density sampling of row cropping systems can enable a variety of agronomic research that is currently too labor intensive to feasibly pursue by hand. While aerial drones are commonly used to collect field data, there are numerous measurements of interest that require sensors deployed under the crop canopy. This project examines the development of a robust autonomous rover (OSCAR) that can travel through rows of corn throughout the growing season. OSCAR has a 22” wheelbase with differential steering allowing it to navigate through corn rows without damaging the plants. OSCAR is equipped with an RTK GNSS module and stereo vision camera which allows it to navigate through rows autonomously. The robot’s ability to reliably navigate and avoid obstacles continues to be improved upon in simulation and in real fields.
Development of an Open Source Connected Autonomous Rover (OSCAR) for Under Canopy Row Crop Sampling
High density sampling of row cropping systems can enable a variety of agronomic research that is currently too labor intensive to feasibly pursue by hand. While aerial drones are commonly used to collect field data, there are numerous measurements of interest that require sensors deployed under the crop canopy. This project examines the development of a robust autonomous rover (OSCAR) that can travel through rows of corn throughout the growing season. OSCAR has a 22” wheelbase with differential steering allowing it to navigate through corn rows without damaging the plants. OSCAR is equipped with an RTK GNSS module and stereo vision camera which allows it to navigate through rows autonomously. The robot’s ability to reliably navigate and avoid obstacles continues to be improved upon in simulation and in real fields.