Latest Research in Smart Agriculture and AI
39 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Smart Agriculture and AI
- Smart Agriculture and AI — 26 papers
- Computer Vision and Pattern Recognition — 5 papers
- Traditional Chinese Medicine Studies — 1 papers
- Cell Image Analysis Techniques — 1 papers
- Robotics — 1 papers
- Remote Sensing in Agriculture — 1 papers
- Plant Pathogens and Resistance — 1 papers
- Date Palm Research Studies — 1 papers
- Banana Cultivation and Research — 1 papers
- Fuzzy and Soft Set Theory — 1 papers
Highest-Cited Papers
- An attention-enhanced MobileNetV2 with squeeze-and-excitation architecture for efficient potato leaf disease detection and classification
- Comparative Performance Analysis of YOLOv10 and YOLOv11 for Automated Mulberry Leaf Nutrient Deficiency Detection
- A multi-objective intelligent self-distilled lightweight network for explainable grape leaf disease recognition and decision support
- Comparative Performance Analysis of YOLOv10 and YOLOv11 for Automated Mulberry Leaf Nutrient Deficiency Detection
- A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
- Attention-driven YOLOv11n–DeiT model for enhanced detection of tomato leaf diseases
- Counterfactual Explanations for Plant Disease Classification
- AdapterMoE: A Two-Stage Hard-Routing Mixture-of-Experts Architecture for Multi-Crop Disease Recognition with Calibrated Rejection and Incremental Learning
- Chroma-Sense 2.0: A Memory-Efficient Two-Stage Pipeline for Lightweight On-Device Plant Disease Segmentation and Classification
- A Lightweight Shallow CNN-Based Approach for Ring-Neck Disease Detection in Avocado Fruits
- An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
- Improved YOLOv11 with Information Integration Attention for Multi-Organ Apple Disease Detection Throughout the Whole Growth Period
- A novel model for precise segmentation and disease diagnosis of economic forest images in complicated backgrounds
- Deep learning–driven classification of 46 medicinal macrofungi species: comparative analysis, fusion strategies, and explainability insights
- EATMamba: Evolutionary Token-Refined Vision Mamba for Tomato Leaf Disease and Pest Classification
- A Dual Branch Fusion Network for Simultaneous Tea Leaf Disease Diagnosis and Age-Based Quality Grade Evaluation
- Design and Evaluation of an AI-Enabled Cloud-Edge Architecture for Connected Precision Agriculture Farms
- CLM-YOLO: An Improved YOLOv11n-Based Model for Accurate Rice Pest Detection and Intelligent Monitoring
- AgroGuard AI: A Zero-Shot Multimodal Crop Disease Diagnostic Assistant for Smallholder Farming
- Explainable medicinal plant identification using a hybrid CNN-vision transformer framework