Pretto et al., 2020 - Google Patents
Building an aerial–ground robotics system for precision farming: an adaptable solutionPretto et al., 2020
View PDF- Document ID
- 1188824216632140488
- Author
- Pretto A
- Aravecchia S
- Burgard W
- Chebrolu N
- Dornhege C
- Falck T
- Fleckenstein F
- Fontenla A
- Imperoli M
- Khanna R
- Liebisch F
- Lottes P
- Milioto A
- Nardi D
- Nardi S
- Pfeifer J
- Popović M
- Potena C
- Pradalier C
- Rothacker-Feder E
- Sa I
- Schaefer A
- Siegwart R
- Stachniss C
- Walter A
- Winterhalter W
- Wu X
- Nieto J
- Publication year
- Publication venue
- IEEE Robotics & Automation Magazine
External Links
Snippet
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource-use efficiency, reduction of chemical treatments, and optimization of human effort and yield. With this vision …
- 238000004805 robotic 0 title abstract description 45
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Pretto et al. | Building an aerial–ground robotics system for precision farming: an adaptable solution | |
| Bai et al. | Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review | |
| Wu et al. | Robotic weed control using automated weed and crop classification | |
| EP3673458B1 (en) | Apparatus and method for agricultural data collection and agricultural operations | |
| Ball et al. | Vision‐based obstacle detection and navigation for an agricultural robot | |
| Gai et al. | Using a depth camera for crop row detection and mapping for under-canopy navigation of agricultural robotic vehicle | |
| US11425852B2 (en) | Autonomous detection and control of vegetation | |
| US11751559B2 (en) | Detecting and treating a target from a moving platform | |
| Beloev et al. | Artificial intelligence-driven autonomous robot for precision agriculture | |
| Shalal et al. | A review of autonomous navigation systems in agricultural environments | |
| Fasiolo et al. | Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics | |
| Silwal et al. | Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning. | |
| Vulpi et al. | An RGB-D multi-view perspective for autonomous agricultural robots | |
| Ahmadi et al. | Bonnbot-i: A precise weed management and crop monitoring platform | |
| Fei et al. | Row‐sensing templates: A generic 3D sensor‐based approach to robot localization with respect to orchard row centerlines | |
| Xu et al. | Vision-based autonomous navigation stack for tractors operating in peach orchards | |
| Navone et al. | Autonomous navigation in rows of trees and high crops with deep semantic segmentation | |
| Hutsol et al. | Robotic technologies in horticulture: analysis and implementation prospects | |
| WO2023069841A1 (en) | Autonomous detection and control of vegetation | |
| Martini et al. | Enhancing navigation benchmarking and perception data generation for row-based crops in simulation | |
| Ahmad et al. | Addressing agricultural robotic (Agribots) functionalities and automation in agriculture practices: What’s next? | |
| Shamshiri et al. | Precision Agriculture: Emerging Technologies | |
| Potena | Perception and environment modeling in robotic agriculture contexts | |
| Xu | Robotic Systems for Field-Based High-Throughput Plant Phenotyping | |
| Thushara et al. | A novel machine learning based autonomous farming robot for small-scale chili plantations |