Latest Research in Computer Vision and Pattern Recognition
38 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Smart Agriculture and AI — 18 papers
- Computer Vision and Pattern Recognition — 7 papers
- Robotics — 2 papers
- Plant Surface Properties and Treatments — 1 papers
- Spectroscopy and Chemometric Analyses — 1 papers
- Tree Root and Stability Studies — 1 papers
- Allergic Rhinitis and Sensitization — 1 papers
- Leaf Properties and Growth Measurement — 1 papers
- Plant tissue culture and regeneration — 1 papers
- Industrial Vision Systems and Defect Detection — 1 papers
Highest-Cited Papers
- A Novel Fast Detection and Localization Method for the ‘Sucui No.1 Pear’ Based on YOLOv11-Pear
- Automated binary classification of hazelnut X-ray images: A deep-learning benchmark for quality assessment
- GhostGS and ECA2 enhanced framework for accurate strawberry maturity detection in smart agriculture
- Apple Tree Distance and Volume Measurement Using LiDAR and RGB-D Imaging
- Two-Stage UAV Recognition of Single and Multiple Wild Arrowhead Plants in Paddy Fields Using YOLOv8n and Patch Classification
- Online Detection and Grading of Tomato External Quality Based on Machine Vision
- Postharvest moisture-level classification using LiDAR point clouds: Integrating 3D structure and spectral intensity
- YOLOv11n-DEG for Maize Kernel Damage Detection
- A two-stage deep learning framework for oil palm fresh fruit bunch ripeness classification toward predictive harvesting in precision agriculture
- Foreseeing the Invisible: Amodal Reconstruction of Leaf Fossil Images
- MC-RT-DETR: A Lightweight Real-Time Cotton Top Bud Detection Model Based on Improved RT-DETR
- Improved YOLOv8 Weed Segmentation Method Based on Dual-ViT
- DSA-UNet: Attention-Integrated and High-Frequency Feature-Preserved U-Net for Fuding White Tea Bud Segmentation
- Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction (1 citations)
- Automated mangosteen size estimation from images using instance segmentation and adaptive mask refinement
- Receding-Horizon Next-Best-View Planner for Autonomous Leaf Surface Reconstruction
- Automatic annotation rules for stem orientation in support-based mechanical harvesting of ‘Yuluxiang’ pear
- Physics-guided deep representation learning for SEM-based pollen classification via morphology-aware hybrid feature integration
- Decoupled Geometric Measurement and Machine Learning Classification for Automated Post-Harvest Quality Assessment of Ruscus hypophyllum Foliage
- Rice panicle detection from unmanned aerial vehicle (UAV) imagery via image restoration and pseudo-depth prior