Fast implementation of real-time fruit detection in apple orchards using deep learning
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Summary
The experimental results show that LedNet can perform real-time apple detection in orchards robustly and efficiently.
- Type
- article
- Published
- 2020-01-01
- Cited by
- 226
- References
- 35
- Access
- Open access
- OpenAlex
- https://openalex.org/W2989928569
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:210117857
Keywords
Artificial intelligence, Computer science, Pooling, Deep learning, Pyramid (geometry)
References
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- A review on vision-based control of robot manipulators
- Fully convolutional networks for semantic segmentation
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Mixture model for face-color modeling and segmentation
- Fast Normalized Cross-Correlation
- Selective Search for Object Recognition
- Going deeper with convolutions
- Computer vision for fruit harvesting robots - state of the art and challenges ahead
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Comparing images using color coherence vectors
- Rethinking the Inception Architecture for Computer Vision
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- Region-based colour modelling for joint crop and maize tassel segmentation
- A survey of transfer learning
- Visual detection of occluded crop: For automated harvesting
- Sweet pepper pose detection and grasping for automated crop harvesting
- A review of key techniques of vision-based control for harvesting robot
- DeepFruits: A Fruit Detection System Using Deep Neural Networks
- Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Cited by
- Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
- Designing a Fruit Identification Algorithm in Orchard Conditions to Develop Robots Using Video Processing and Majority Voting Based on Hybrid Artificial Neural Network
- Real-time Fruit Recognition and Grasp Estimation for Autonomous Apple harvesting
- Visual Perception and Modeling for Autonomous Apple Harvesting
- Robotics and Automation in Agriculture: Present and Future Applications
- Understanding human responses to errors in a collaborative human-robot selective harvesting task
- Evaluation of Robust Spatial Pyramid Pooling Based on Convolutional Neural Network for Traffic Sign Recognition System
- Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment
- Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN
- Using YOLOv3 Algorithm with Pre- and Post-Processing for Apple Detection in Fruit-Harvesting Robot
- Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review
- Weight analysis for various prohibitory sign detection and recognition using deep learning
- Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
- Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
- A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation
- Deep learning based real-time Industrial framework for rotten and fresh fruit detection using semantic segmentation
- ATSS Deep Learning-Based Approach to Detect Apple Fruits
- From machine learning to deep learning in agriculture – the quantitative review of trends
- Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision
- Automated Agave Detection and Counting Using a Convolutional Neural Network and Unmanned Aerial Systems
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