Search Results for author:
Found 3 papers, 1 papers with code
Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic Segmentation and Semantic Line Detection
The successful implementation of vision-based navigation in agricultural fields hinges upon two critical components: 1) the accurate identification of key components within the scene, and 2) the identification of lanes through the detection of boundary lines that separate the crops from the traversable ground.
Metalearning generalizable dynamics from trajectories
We present the interpretable meta neural ordinary differential equation (iMODE) method to rapidly learn generalizable (i. e., not parameter-specific) dynamics from trajectories of multiple dynamical systems that vary in their physical parameters.
Deep-CNN based Robotic Multi-Class Under-Canopy Weed Control in Precision Farming
Smart weeding systems to perform plant-specific operations can contribute to the sustainability of agriculture and the environment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
