Latest Research in Agricultural Phenotyping Intelligence

Top Research Topics in Agricultural Phenotyping Intelligence

• Smart Agriculture and AI — 58 papers
• Computer Vision and Pattern Recognition — 25 papers
• Advanced Neural Network Applications — 6 papers
• Robotics — 4 papers
• Insect and Pesticide Research — 3 papers
• Remote Sensing and LiDAR Applications — 3 papers
• Remote Sensing in Agriculture — 3 papers
• Spectroscopy and Chemometric Analyses — 2 papers
• Industrial Vision Systems and Defect Detection — 2 papers
• Species Distribution and Climate Change — 2 papers

Highest-Cited Papers

1. SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision
2. YieldNet: A Lightweight YOLOv8n Enhancement for Immature Green Tomato Detection in UAV Images: Real-Time Edge Demonstration Toward Pre-Harvest Yield Estimation
3. Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities
4. Nondestructive Detection of Hazelnut Defects Using X-ray Imaging and Deep Learning-Based Segmentation
5. Cherry Fruit-Thinning Decision Support via Visual Phenotypic Analysis of Ripeness and Fruiting-Branch Spatial Compactness
6. A Method for Locating Growth Points of Cucurbitaceae Plug Seedlings Based on Structured Light Vision
7. Comparing deep learning models for butterfly and moth (Lepidoptera) species identification
8. A Deep Learning-Driven Computer Vision and Web-Based Monitoring System for Automated Nutrient Management in Soilless Agriculture
9. Unified Multi-Level Grape Counting Framework with Low Annotation Cost for Natural Orchard Scenes
10. Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment
11. WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
12. A Computer Vision and Supervised Learning System for the Automatic Sorting of Persian Lime According to NMX-FF-077
13. Interpreting deep learning models for explainable animal detection using Grad-Cam with RetinaNet, SSD and YOLOv8
14. TreeAdapter: Hierarchical Taxonomy-Guided Adapter Composition for Fine-Grained Species Image Generation
15. A Machine Vision-Based Intelligent Identification System for Quality Grading of Saw-Ginned Cotton
16. Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping
17. Phenology-based learning framework for yield estimation and harvest forecasting of raspberry fruits
18. Non-Destructive Evaluation of In Vitro Blackberry Shoot Architecture Under Different Sucrose Levels Through Smartphone-Derived 3D Reconstruction
19. Fine-grained avian wildlife species classification: a comparative study of MambaVision, vision transformers, and CNN architectures
20. Mangosteen grading using image regression under multiple views

Sub-Regions

• Smart Agriculture and AI — 71 papers
• Computer Vision and Pattern Recognition — 45 papers
• Plant Pathogens and Resistance — 43 papers
• Animal Behavior and Welfare Studies — 37 papers
• Food Supply Chain Traceability — 6 papers
• Underwater Vehicles and Communication Systems — 3 papers