Latest Research in Smart Agriculture Technology

Top Research Topics in Smart Agriculture Technology

• Smart Agriculture and AI — 146 papers
• Computer Vision and Pattern Recognition — 35 papers
• Animal Behavior and Welfare Studies — 8 papers
• Remote Sensing in Agriculture — 6 papers
• Animal Nutrition and Physiology — 5 papers
• Remote Sensing and LiDAR Applications — 4 papers
• Intelligence, Security, War Strategy — 4 papers
• Advanced Neural Network Applications — 4 papers
• Robotics — 4 papers
• Banana Cultivation and Research — 3 papers

Highest-Cited Papers

1. Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance (1 citations)
2. CLH-DETR: An Enhanced and Lightweight RT-DETR for Mulberry Disease Detection in Natural Orchard Environments
3. A Novel Fast Detection and Localization Method for the ‘Sucui No.1 Pear’ Based on YOLOv11-Pear
4. A Benchmark and Cross-Camera Protocol for Open-Set Re-Identification of Holstein Cattle: Synchronized Multi-View Capture and Viewpoint-Invariant Alignment
5. A Tracking‐By‐Detection Framework to Automatically Count Rare and Elusive Megafauna in Aerial Video Surveys
6. DMFRNet: Dynamic Multi-Scale Feature Reweighting Network for Dairy Cow Detection
7. UGT-YOLO: A Multi-Strategy Fusion Model for Automated Dairy Cow Body Condition Scoring
8. UAV-Based Multi-Label Weed Detection for Site-Specific Weed Management Using a Multi-Scale Convolutional Attention Network
9. A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases
10. Few-Shot Ordinal Learning for Day-Wise Freshness Estimation with Hyperspectral Fish Images
11. Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments
12. Automated binary classification of hazelnut X-ray images: A deep-learning benchmark for quality assessment
13. BoltNet: An Ultra-Lightweight Convolutional Network for On-Device Plant Species Identification
14. AI-Based Cassava Leaf Disease Detection to Support Smallholder Farmers in Ghana
15. An attention-enhanced MobileNetV2 with squeeze-and-excitation architecture for efficient potato leaf disease detection and classification
16. Multimodal multitask deep learning for chili pepper disease diagnosis and severity estimation using images and agrometeorological data
17. Comparative Performance Analysis of YOLOv10 and YOLOv11 for Automated Mulberry Leaf Nutrient Deficiency Detection
18. PineSegNet: A Deep Learning Method for Fine-Grained Wood-Leaf Segmentation of Masson Pine Point Clouds
19. Integration of AI-Based Weed Detection and Robotic Actuation for Site-Specific Under-Canopy Spraying in Woody Crops
20. Fruit detection for small datasets via adjustable anchor boxes and transfer learning

Sub-Regions

• Agricultural Computer Vision — 212 papers
• Environmental Ecosystem Sensing — 40 papers
• Livestock Behavior Monitoring — 26 papers
• Strategic Intelligence Operations — 4 papers