Ongoing Research

My current research interest lies in exploring the applications of machine learning and image processing across various sectors. I aim to investigate the potential of these technologies in improving efficiency, analysis, and problem-solving in the following areas:

• Agriculture & Plants Disease

• Healthcare Informatics

Under Review/Accepted

1. WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture.
   Under Review: Conference Paper - ICMLA 2024
   

2. Cannabis Seed Variant Detection using Faster R-CNN.
   Accepted: Conference Paper - ICACCS 2024 (Preprint)
   

3. A deep learning approach to tomato leaf disease detection using EfficientNetB3.
   Under Review: Journal Article - Scientific Reports