Latest Research in Pest Management Intelligence

Top Research Topics in Pest Management Intelligence

• Smart Agriculture and AI — 21 papers
• Computer Vision and Pattern Recognition — 3 papers
• Ginseng Biological Effects and Applications — 1 papers
• Insect behavior and control techniques — 1 papers
• Plant Disease Management Techniques — 1 papers
• Insect-Plant Interactions and Control — 1 papers
• Advanced Neural Network Applications — 1 papers
• Remote Sensing in Agriculture — 1 papers

Highest-Cited Papers

1. AshGdNutDefAM: Machine-learning-based multi-feature framework for nutrient deficiency detection and classification in Ash gourd Plant
2. An RT-DETR-Based Strawberry Disease Detection Method via Multi-Domain Collaborative Optimization
3. CDMS-YOLO: An Enhanced YOLOv11 Model with Gated Channel Attention and Dynamic Multiscale Optimization for Coffee Leaf Disease and Pest Detection
4. WSD-YOLO: A lightweight YOLO-based model with enhanced feature representation for maize pest detection
5. Lightweight YOLOv8s-BD for small and dense agricultural pest detection using dynamic upsampling and bidirectional feature fusion
6. Low-Data Metric-Learning Phenomic Framework for Interpretable Cultivar Identification and Similarity Analysis in Panax ginseng
7. Applying convolutional neural networks to X-ray images to improve postharvest detection of fruit fly infestation
8. A Multimodal Deep Learning Framework for Groundnut Defect Detection and Classification Using GAN-Augmented U-Net R Segmentation and Vision Transformer
9. CQ-RT-DETR: Lightweight Cotton-Field Weed Detection with Query Competition Calibration
10. Precision in Rice Variety Classification using Stacking-Based Ensemble Learning
11. Meta-Learning for Data-Efficient Plant Growth Estimation via Vision Transformers and Fuzzy Clustering
12. Development of an intelligent pest diagnosis and control system for precision agriculture using image recognition and unmanned aerial vehicles
13. Fine-Grained Sex Classification of Chilo suppressalis Based on Edge-Cloud Collaboration System
14. A hybrid deep learning framework for acoustic pest detection
15. Tea pests and diseases detection method based on multi scale dynamic routing network
16. YOLOv11n-SWAQ: A Lightweight Adaptive Compression Method for Agricultural Images
17. Research on Thrips Object Detection and Counting Algorithms in Leaf Backgrounds
18. ReSynDet: A Generate–Assess–Train Framework for Reliable Use of Synthetic Images in Data-Scarce Brassica chinensis Object Detection
19. From Visual Words to Vision Transformers: Dual Approaches to Water Stress Classification in Maize
20. MOIR-Net: A Lightweight Crop Disease and Pest Recognition Network Based onMulti-Scale Reparameterization and Energy Attention

Sub-Regions

• Smart Agriculture and AI — 8 papers
• Advanced Neural Network Applications — 7 papers
• Insect-Plant Interactions and Control — 6 papers
• Computer Vision and Pattern Recognition — 6 papers
• Plant Disease Management Techniques — 4 papers
• Computer Vision and Pattern Recognition — 1 papers