Latest Research in Plant Pathogens and Resistance
43 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Plant Pathogens and Resistance
- Smart Agriculture and AI — 34 papers
- Computer Vision and Pattern Recognition — 4 papers
- Plant Pathogens and Resistance — 1 papers
- Banana Cultivation and Research — 1 papers
- Fuzzy and Soft Set Theory — 1 papers
- Machine Learning — 1 papers
- Remote Sensing in Agriculture — 1 papers
Highest-Cited Papers
- Safety-Aware Cascaded Inference for Crop Damage Assessment with Controlled Error Trade-offs
- An Efficient Attention-Enhanced MobileNetV2 Framework for Plant Disease Detection on Resource-Constrained Devices
- HYRNet- hybrid yellow rust stage-aware severity classification XAI enabled deep learning framework
- Automated Mango Leaf Disease Identification with Improved Grey Wolf Optimizer in Hybrid MaxViT-Swin Transformer Model
- A novel detection method based on a self-supervised framework integrating multi-scale spatial relationships for tomato leaf disease
- Toward Optimal Adenovirus Detection Using YOLO26
- A comprehensive review of artificial intelligence and Internet of Things integration based plant disease detection for sustainable agriculture
- Blue-Green Fluorescence for Downy Mildew Phenotyping in Lettuce: Linking Transcriptional, Metabolic, and Optical Changes
- Spatial-aware lightweight network for real-time tea disease detection: A coordinate attention-enhanced YOLOv8n approach with path-decoupling strategy
- MSE-YOLOv8n: a cotton leaf disease detection model for complex backgrounds and small targets
- Explainable hybrid multi-branch CNN–ViT–GNN framework for robust hibiscus leaf disease classification
- HECA-MobileNet: an explainable lightweight attention-based deep learning framework for custard apple disease detection
- Longitudinal CT Scanning for Explainable Early Detection of Postharvest Disorders: The ‘Braeburn’ Browning Case (1 citations)
- Semantic-Decoupled Dual Attention Network for Robust Apple Disease Detection
- Advancing sustainable agriculture through multi-parameter fuzzy soft set–based plant disease classification
- Comprehensive plant disease classification and severity estimation for sustainable farming via automatic segmentation and multi-scale feature fusion
- A robust cross-crop disease detection framework based on SIS-YOLOv11 with climate-adaptive mechanisms
- A high-performance detection model ISA-YOLO for eggplant pests and diseases
- Resource-Efficient Continual Learning for Medicinal Plant Identification: A Periodic Retraining Approach for Edge-Deployed Agricultural IoT Applications
- A Review on Artificial Intelligence Methods for Plant Disease and Pest Detection