Muhammad Rashed Al Mamun
Papers
2
Total Citations
5
H-Index
2
About
Muhammad Rashed Al Mamun is an emerging researcher at the intersection of sustainable agriculture and advanced computational phenotyping. His work focuses on two transformative areas: automated hydroponic systems for urban food security and high-throughput 3D reconstruction for precision plant breeding. In his 2025 review on hydroponics, Al Mamun proposes an automated system designed to address the challenge of feeding a global population expected to grow by three billion by 2050, offering a scalable solution for urban families to produce quality food sustainably. Complementing this, his pioneering study on high-throughput 3D plant reconstruction introduces a robotic system that captures detailed datasets of cucumber plants, enabling automated 2D feature detection and segmentation—a critical tool for accelerating plant phenotyping and breeding programs. Though early in his career, with papers garnering 3 and 2 citations respectively, Al Mamun’s work signals a promising dual contribution: tackling food production through smart agriculture while advancing the computational tools needed to understand plant traits. His research bridges engineering, data science, and agronomy, positioning him as a forward-thinking voice in the quest for resilient, technology-driven food systems.
Research Focus
Key Achievements
Top Papers
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- 2