4 papers
Fusing Perceptual Vision Experts with Multimodal Large Language Models for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation
Ranjan Sapkota, Konstantinos I. Roumeliotis, Pengyao Xie +3
Accurate field plant disease diagnosis requires reliable fusion of uncertain and conflicting perceptual evidence. We present the Hybrid Hierarchical Multi-Agent Framework (HM…
Generalization vs. Specialization: Evaluating Segment Anything Model (SAM3) Zero-Shot Segmentation Against Fine-Tuned YOLO Detectors
Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee +1
Deep learning has advanced two fundamentally different paradigms for instance segmentation: specialized models optimized through task-specific fine-tuning and generalist foundation…
Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning
Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee +1
Modern Artificial Intelligence (AI) increasingly relies on multi-agent architectures that blend visual and language understanding. Yet, a pressing challenge remains: How can we tru…
Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
Konstantinos I. Roumeliotis, Ranjan Sapkota, Manoj Karkee +2
Automation in agriculture plays a vital role in addressing challenges related to crop monitoring and disease management, particularly through early detection systems. This study in…