Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
Authors
Keywords
-
Journal
SENSORS
Volume 20, Issue 19, Pages 5670
Publisher
MDPI AG
Online
2020-10-05
DOI
10.3390/s20195670
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fruit detection, segmentation and 3D visualisation of environments in apple orchards
- (2020) Hanwen Kang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A soft pneumatic bistable reinforced actuator bioinspired by Venus flytrap with enhanced grasping capability
- (2020) Xing Wang et al. Bioinspiration & Biomimetics
- SPRNet: Single-Pixel Reconstruction for One-Stage Instance Segmentation
- (2020) Jun Yu et al. IEEE Transactions on Cybernetics
- Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field
- (2019) Guichao Lin et al. SENSORS
- Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
- (2019) A. Koirala et al. PRECISION AGRICULTURE
- Apple detection during different growth stages in orchards using the improved YOLO-V3 model
- (2019) Yunong Tian et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Human–robot interaction in agriculture: A survey and current challenges
- (2019) Juan P. Vasconez et al. BIOSYSTEMS ENGINEERING
- Fruit detection in natural environment using partial shape matching and probabilistic Hough transform
- (2019) Guichao Lin et al. PRECISION AGRICULTURE
- A novel image processing algorithm to separate linearly clustered kiwifruits
- (2019) Longsheng Fu et al. BIOSYSTEMS ENGINEERING
- Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
- (2019) Yang Yu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud
- (2019) Jun Xu et al. SENSORS
- Fast implementation of real-time fruit detection in apple orchards using deep learning
- (2019) Hanwen Kang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
- (2019) Kang et al. SENSORS
- Object Detection With Deep Learning: A Review
- (2019) Zhong-Qiu Zhao et al. IEEE Transactions on Neural Networks and Learning Systems
- Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
- (2018) Junwei Han et al. IEEE SIGNAL PROCESSING MAGAZINE
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Grasp Pose Detection in Point Clouds
- (2017) Andreas ten Pas et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- A review of key techniques of vision-based control for harvesting robot
- (2016) Yuanshen Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- DeepFruits: A Fruit Detection System Using Deep Neural Networks
- (2016) Inkyu Sa et al. SENSORS
- Location of apples in trees using stereoscopic vision
- (2015) Yongsheng Si et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Deep learning for detecting robotic grasps
- (2015) Ian Lenz et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Harvesting Robots for High-value Crops: State-of-the-art Review and Challenges Ahead
- (2014) C. Wouter Bac et al. Journal of Field Robotics
- Mobile Manipulation in Unstructured Environments: Perception, Planning, and Execution
- (2012) Sachin Chitta et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
- Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation
- (2012) Aitor Aldoma et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started