A5016876466- Robotics and Sensor-Based Localization
- Advanced Neural Network Applications
- Smart Agriculture and AI
- QR Code Applications and Technologies
- Robot Manipulation and Learning
- Advanced Vision and Imaging
- Spectroscopy and Chemometric Analyses
- Plant Pathogens and Fungal Diseases
- Plant Disease Management Techniques
- 3D Surveying and Cultural Heritage
- Water Quality Monitoring Technologies
- Advanced Manufacturing and Logistics Optimization
- Hand Gesture Recognition Systems
- Augmented Reality Applications
Nanjing Agricultural University
2022-2024
Abstract Navigation and autonomous operation in farmland or greenhouse environments present significant challenges for agricultural mobile robots on account of unstructured scene conditions complex task requirements. The immersive interfaces based human–robot interaction have been extensively developed, which bridge the high‐level decision human beings precise sensing high motion ability robots. In this study, we propose a framework three‐dimensional mapping virtual reality (VR)...
Grasping objects is a fundamental yet important capability of robots, and many tasks such as sorting picking rely on this skill. The prerequisite for stable grasping the ability to correctly identify suitable positions. However, finding appropriate points challenging due diverse shapes, varying density distributions, significant differences between barycenter various objects. In past few years, researchers have proposed methods address above-mentioned issues achieved very good results...
Abstract Background Gray mold and anthracnose are the main factors affecting strawberry quality yield. Accurate rapid early disease identification is of great significance to achieve precise targeted spraying avoid large-scale spread diseases improve yield quality. However, characteristics between infected leaves healthy very similar, making gray still challenging. Results Based on hyperspectral imaging technology, this study explored potential combining spectral fingerprint features...
The quality of three-dimensional reconstruction is a key factor affecting the effectiveness its application in areas such as virtual reality (VR) and augmented (AR) technologies. Neural Radiance Fields (NeRF) can generate realistic images from any viewpoint. It simultaneously reconstructs shape, lighting, materials objects, without surface defects, which breaks down barrier between virtuality reality. potential spatial correspondences displayed by NeRF reconstructed scenes real-world offer...