Latest Research in Smart Agriculture and AI
67 research papers · 2026 median publication year
Top Research Topics in Smart Agriculture and AI
- Smart Agriculture and AI — 41 papers
- Computer Vision and Pattern Recognition — 10 papers
- Robotics — 6 papers
- Spectroscopy and Chemometric Analyses — 2 papers
- Remote Sensing in Agriculture — 1 papers
- Traditional Chinese Medicine Studies — 1 papers
- Soil Mechanics and Vehicle Dynamics — 1 papers
- Genetic Mapping and Diversity in Plants and Animals — 1 papers
- Advanced Fluorescence Microscopy Techniques — 1 papers
- Aquatic Invertebrate Ecology and Behavior — 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
- 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
- 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
- Real-time on-tree Korla pear grading with a shared ordinal–anomaly descriptor field
- 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
- LitchiInst: Instance segmentation of the main fruit-bearing branch via fruit-branch association for robotic litchi harvesting
- Automated Cocoa Bean Classification and Defect Detection Based on ASEAN Standard Using Image Processing and Feature-Based Analysis
- Development of a mixture of experts with optimized EfficientNet features (MoEffNet)-powered automated identification system for images of agricultural equipment
- An improved RT-DETR approach for real-time detection of densely occluded blueberries and micro-calyxes