Latest Research in Plant Surface Properties and Treatments
37 research papers · 2026 median publication year
Top Research Topics in Plant Surface Properties and Treatments
- Smart Agriculture and AI — 26 papers
- Computer Vision and Pattern Recognition — 7 papers
- Plant Surface Properties and Treatments — 1 papers
- Silk-based biomaterials and applications — 1 papers
- Remote Sensing in Agriculture — 1 papers
- Allergic Rhinitis and Sensitization — 1 papers
Highest-Cited Papers
- CLH-DETR: An Enhanced and Lightweight RT-DETR for Mulberry Disease Detection in Natural Orchard Environments
- UAV-Based Multi-Label Weed Detection for Site-Specific Weed Management Using a Multi-Scale Convolutional Attention Network
- BoltNet: An Ultra-Lightweight Convolutional Network for On-Device Plant Species Identification
- Fruit detection for small datasets via adjustable anchor boxes and transfer learning
- Precision Greenhouse Rose Phenotyping from UAV Imagery Using a Multi-Source Dataset and Lightweight BloomRoseNet
- Automated counting of Spodoptera frugiperda eggs using deep learning in multilayer egg mass images
- SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision
- Dye-based field evaluation of an integrated high-precision smart sprayer for weed control in vegetables
- Comparative analysis of automatic mask generation methods for agricultural seed instance segmentation
- AgriField-40K: Adapting Vision Models to Agriculture With Efficient Continual Pretraining
- Lightweight Visual Detection Framework for Accurate Pepper Pest Detection Under Complex Field Conditions
- Explainable lightweight deep learning architectures for crop anomaly detection using enhanced Grad-CAM and transfer learning
- A cloud-integrated deep learning system for weed detection using Jetson Nano
- YOLOv8-EMA-P2: An Enhanced Deep Learning Framework for Wheat Grain Detection and Counting from Single-Spike Images
- Vision-Based Counting of Horticultural Seeds Using ViT-UNet Density Regression for Post-Harvest Quality Assessment
- Self-Supervised Multimodal Learning for Preharvest and Postharvest Fruit Quality Assessment Using Images and Environmental Sensors
- MBFFN: A Multi-Backbone Feature Fusion Network for Fine-Grained Plant Species Classification
- A Comparative Evaluation of Deep Learning Architectures for Weed Classification, with an Exploratory Out-of-Distribution Analysis of Albanian Field Images
- A Case Study for the Use of Image‐Based Monitoring of Moth Populations in Stored‐Product Environments Using Smart Sticky Traps
- KFP-YOLO: A Lightweight Detection Model for Korla Fragrant Pear Disease and Pest Detection Toward Edge Deployment