Latest Research in Robotic Harvesting Perception
109 research papers · 2026 median publication year
Top Research Topics in Robotic Harvesting Perception
- Smart Agriculture and AI — 50 papers
- Computer Vision and Pattern Recognition — 24 papers
- Robotics — 6 papers
- Spectroscopy and Chemometric Analyses — 3 papers
- Remote Sensing in Agriculture — 2 papers
- Cell Image Analysis Techniques — 2 papers
- Species Distribution and Climate Change — 2 papers
- Malaria Research and Control — 1 papers
- Traditional Chinese Medicine Studies — 1 papers
- Industrial Vision Systems and Defect Detection — 1 papers
Highest-Cited Papers
- Improving Harvesting Efficiency and Sustainability Through Lightweight Visual Perception: COS-DETR for Resource-Constrained Tea-Harvesting Robots
- LGB-YOLOv11n: A Position-Specific Lightweight Detector for Shiitake Appearance Pre-Grading on Edge Devices
- Deep learning convolutional neural networks for morphological identification of field-caught Anopheles stephensi in Ethiopia, using smartphone images of specimens
- Selective Cotton Boll Localization for Robotic Harvesting: Evaluation of Deep Learning Vision Models Under Field Conditions
- Identifying Aquatic Plants in Crab Ponds Based on Spectral Data, RGB Image Fusion, and Deep Learning
- Active perception for robotic harvesting: 3D reconstruction and localisation of tomatoes hidden within clusters in a Mediterranean greenhouse
- Toward scalable organ-level 3D plant segmentation: A systematic and quantitative review through the lens of the data-algorithm-computing triangle
- Structure-Aware RGB Channel Reconstruction for YOLOv8-Based Oyster Mushroom Detection
- LemonDet: A Lightweight YOLO11Architecture with Dataset-Specific Color Priors for Small Lemon Detection in Orchards
- UAV-based YOLOv11 system for automated detection and counting of male hemp plants bearing staminate flowers
- CLASP: A Cluster-Level Autonomous Selective Picking Robot with a Soft Rolling-Band Gripper for Fresh-Market Blueberry Harvesting
- DRSA: Depth-Routed Selective Attention for chili pepper organ segmentation with selective use of estimated monocular depth
- Plant-GeoAT: Geometry-Aware Organ Identity Parsing of 3D Plant Point Clouds for Organ-Level Phenotyping
- MP-CBA-YOLO: a morphology-preserving class-balanced object detection method for small-sample imbalanced ginseng grade detection
- Evaluating Mesh Reconstruction Methods for Crop Phenotyping
- InfoTaxa: Information-Calibrated Label-Free Clustering for Fine-Grained Visual Taxonomy
- Real-time on-tree Korla pear grading with a shared ordinal–anomaly descriptor field
- YOLO12 Down Feather Quality Classification Method Based on A2C2f-CGLU Feature Enhancement
- SPINet: structure-enhanced point cloud instance segmentation network for multi-plant rice phenotyping
- PMSPA-Net framework with geometric region decomposition for high-precision phenotyping of field-grown maize seedlings
Sub-Regions
- Smart Agriculture and AI — 67 papers
- Computer Vision and Pattern Recognition — 15 papers
- Animal Behavior and Welfare Studies — 6 papers