Prayma Bishshash
Papers
1
Total Citations
34
H-Index
1
About
Prayma Bishshash has established herself as a pioneering researcher in the intersection of agricultural technology and computer vision, with a particular focus on post-harvest quality assessment. Her most influential work centers on developing intelligent systems for fruit maturity detection and grading, exemplified by her highly cited 2023 study on dragon fruit classification. This landmark paper, which has garnered 34 citations, introduced a comprehensive dragon fruit image dataset that enables automated differentiation between white-fleshed and red-fleshed varieties while simultaneously evaluating ripeness and quality grades. The dataset addresses a critical gap in tropical fruit processing, where manual inspection remains labor-intensive and subjective. Bishshash’s contributions are particularly significant given dragon fruit’s growing global popularity and its documented health benefits, including high antioxidant content. By creating a standardized visual benchmark for quality assessment, her work directly supports agricultural supply chains, reducing waste and ensuring consumers receive optimally ripe produce. Her research methodology, combining detailed phenotyping with machine learning, has set a new standard for non-destructive fruit evaluation. As the demand for automated agricultural solutions increases, Bishshash’s dataset and analytical framework continue to serve as a foundational resource for researchers developing smart sorting systems and quality control technologies in tropical horticulture.
Research Focus
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Top Papers
- 1