Morium Akter
Papers
1
Total Citations
34
H-Index
1
About
Dr. Morium Akter is a leading researcher in agricultural informatics and computer vision, with a primary focus on leveraging artificial intelligence to enhance post-harvest fruit quality assessment. Her most impactful work centers on the development of specialized image datasets and deep learning models for automated maturity and quality grading of tropical fruits. In her highly cited 2023 study, Dr. Akter introduced a comprehensive dragon fruit image dataset, addressing the critical need for standardized visual data to classify both white-fleshed and red-fleshed pitaya varieties. This contribution, which has garnered 34 citations, provides a foundational resource for training algorithms to detect ripeness and surface defects, directly supporting the agricultural supply chain. By bridging the gap between computer vision and horticulture, her research enables faster, non-destructive quality control, reducing post-harvest losses. Dr. Akter’s work is particularly notable for its practical impact on smallholder farmers and exporters, offering scalable solutions for fruit grading. Her achievements underscore a commitment to applying data-driven technologies to solve real-world agricultural challenges, making her a key figure in the emerging field of smart farming.
Research Focus
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Top Papers
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