🌿 Research Focus
Research sits at the intersection of Computer Vision and Precision Agriculture, specifically addressing the challenge of limited data in plant pathology. Developing generative frameworks for synthetic imagery synthesis — creating high-fidelity datasets modelling plant diseases at varying severity stages. Leveraging synthetic samples to enhance diagnostic accuracy of deep learning models for robust, scalable automated disease detection in real-world agricultural settings.
Research Details
Severity-Based Plant Disease Synthetic Imagery Synthesis and Diagnosis
Synthetic Image Generation
Generative frameworks to produce high-fidelity plant disease images at multiple severity levels to overcome data scarcity.
Plant Disease Diagnosis
Deep learning models for accurate, scalable automated plant disease classification from real and synthetic imagery.
Data Augmentation
Severity-guided augmentation strategies to improve model robustness across varied field conditions.
CGanga – IITK Collaboration
Contributing to the CGanga project in collaboration with IIT Kanpur for agricultural AI research.
Keywords
Education
Technical Skills
Programming
Tools & Platforms
Achievements & Experience
Contact
"Do not go gentle into that good night!"