most citedEvaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2025

A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI

Saptarshi Banerjee, Himadri Nath Saha, Utsho Banerjee +2

Neuro-oncological prognostics are now vital in modern clinical neuroscience because brain tumors pose significant challenges in detection and management. To tackle this issue, we p…

cs.CV2025★ 11 cited

Evaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection

Saptarshi Banerjee, Tausif Mallick, Amlan Chakroborty +2

Addressing plant diseases and pests is critical for enhancing crop production and preventing economic losses. Recent advances in artificial intelligence (AI), machine learning (ML)…