Search Results for author:
Found 8 papers, 2 papers with code
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Multisensory polices are known to enhance both state estimation and target tracking.
Active Learning with Gaussian Processes for High Throughput Phenotyping
A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability.
Adaptive Auxiliary Task Weighting for Reinforcement Learning
Reinforcement learning is known to be sample inefficient, preventing its application to many real-world problems, especially with high dimensional observations like images.
A Robust Illumination-Invariant Camera System for Agricultural Applications
While transfer learning and data augmentation to some extent reduce the need for large amount of data to train deep neural networks, the large variety of cultivars and the lack of shared datasets in agriculture makes wide-scale field deployments difficult.
3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection
In this paper, we present a method for creating high-quality 3D models of sorghum panicles for phenotyping in breeding experiments.
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision
We provide quantitative results on data collected in an apple orchard, and demonstrate that our system is able to predict abscise rates within 3. 5% of the current method with a 6 times improvement in speed, while requiring significantly less manual effort.
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies
Then, based on the observed tree structures, we build a custom 3D likelihood map in the form of an occupancy grid to hypothesize on the presence of occluded skeletons through a series of minimum cost path searches.
3D Skeletonization of Complex Grapevines for Robotic Pruning
Robotic pruning of dormant grapevines is an area of active research in order to promote vine balance and grape quality, but so far robotic efforts have largely focused on planar, simplified vines not representative of commercial vineyards.
