Research Areas
Biography and Research Information
OverviewAI-generated summary
Prasanna Rajbhandari's research focuses on the application of big data and artificial intelligence in various domains, including plant pathology and business intelligence. His recent publications explore image processing for identifying plant diseases across different categories and visualizing big data related to banana diseases and pathogen-host interactions. Rajbhandari has also investigated the integration of big data in genomic analysis and the convergence of big data and AI for business intelligence through learning-based methods.
He has a h-index of 1 with four total publications and four total citations. Rajbhandari collaborates with Richard S. Segall from Arkansas State University, with whom he shares four publications. His work is characterized by an interest in leveraging large datasets and advanced computational techniques to address complex research questions.
Metrics
- h-index: 1
- Publications: 4
- Citations: 4
Selected Publications
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The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence (2026)
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Big Data Integration in Genomic Analysis (2025)
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Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants (2024)
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Image Processing of Big Data for Plant Diseases of Four Different Plant Categories (2024)
Collaboration Network
Top Collaborators
- Image Processing of Big Data for Plant Diseases of Four Different Plant Categories
- Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
- Big Data Integration in Genomic Analysis
- The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence
- Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
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