Latest Research in Precision Agricultural Robotics

Top Research Topics in Precision Agricultural Robotics

• Smart Agriculture and AI — 137 papers
• Computer Vision and Pattern Recognition — 40 papers
• Remote Sensing in Agriculture — 6 papers
• Robotics — 6 papers
• Spectroscopy and Chemometric Analyses — 5 papers
• Insect behavior and control techniques — 2 papers
• Cell Image Analysis Techniques — 2 papers
• Artificial Intelligence — 2 papers
• Species Distribution and Climate Change — 2 papers
• Fungal Plant Pathogen Control — 2 papers

Highest-Cited Papers

1. A comprehensive review of deep learning methods for weed classification in precision agriculture
2. Precision Diagnosis of Apple Leaf Diseases Across Infection Stages via Web-Based Analysis
3. AshGdNutDefAM: Machine-learning-based multi-feature framework for nutrient deficiency detection and classification in Ash gourd Plant
4. Multi scale feature fusion method for assessing the degree of damage caused by rice blast disease
5. MMTA-ACDD: Multi-teacher online adaptive learning and multimodal augmentation synergy for robust crop disease detection
6. Improving Harvesting Efficiency and Sustainability Through Lightweight Visual Perception: COS-DETR for Resource-Constrained Tea-Harvesting Robots
7. LGB-YOLOv11n: A Position-Specific Lightweight Detector for Shiitake Appearance Pre-Grading on Edge Devices
8. Lightweight CNN Architectures for Real-Time Crop Disease Detection on Low-End Smartphones for Rural Deployment
9. Deep learning convolutional neural networks for morphological identification of field-caught Anopheles stephensi in Ethiopia, using smartphone images of specimens
10. Contrastive learning with prototype reliability calibration for plant leaf recognition
11. A bilevel-optimized multimodal transformer framework for plant disease classification and severity prediction using adaptive feature fusion
12. A Lightweight GDMM-YOLO11 Model for Cotton–Weed Instance Segmentation and Image-Plane Operation-Point Localization
13. Selective Cotton Boll Localization for Robotic Harvesting: Evaluation of Deep Learning Vision Models Under Field Conditions
14. A Multi-Modal Generative Model for Tomato Disease Leaves Understanding
15. An RT-DETR-Based Strawberry Disease Detection Method via Multi-Domain Collaborative Optimization
16. Identifying Aquatic Plants in Crab Ponds Based on Spectral Data, RGB Image Fusion, and Deep Learning
17. CDMS-YOLO: An Enhanced YOLOv11 Model with Gated Channel Attention and Dynamic Multiscale Optimization for Coffee Leaf Disease and Pest Detection
18. Active perception for robotic harvesting: 3D reconstruction and localisation of tomatoes hidden within clusters in a Mediterranean greenhouse
19. Machine Vision‐Based Morphological Benchmarking and Extrusion Optimization of Analog Rice: A Digital Image Analysis Framework for Agricultural Grain Quality Evaluation
20. Toward scalable organ-level 3D plant segmentation: A systematic and quantitative review through the lens of the data-algorithm-computing triangle

Sub-Regions

• Robotic Harvesting Perception — 109 papers
• Phytopathological Image Diagnostics — 71 papers
• Pest Management Intelligence — 30 papers
• Automated Weed Control — 29 papers