Hermawan Nugroho

University of Nottingham Malaysia Campus

Papers

Total Citations

H-Index

About

Hermawan Nugroho is a researcher whose work bridges the critical domains of autonomous maritime robotics and precision agriculture. He is best known for his contributions to the design of unmanned surface vehicles (USVs) for shallow-water search and rescue operations, a project that has garnered 10 citations and addresses a vital gap in emergency response technology. In the agricultural sphere, Nugroho has made significant strides in deep learning-based fruit detection, particularly through his comparative study of citrus fruit counting using the YOLOv7 architecture. His 2024 paper, which has already earned 5 citations, systematically evaluated the performance of different YOLOv7 variants—original, tiny, and x—for detecting and counting *Citrus reticulata* Blanco cv. Batu 55. His findings demonstrated that the original YOLOv7 model outperformed its lighter and heavier counterparts, providing a robust solution for automated fruit yield estimation. This work is instrumental for farmers and agritech developers seeking efficient, real-time monitoring systems. Nugroho’s research exemplifies a practical, problem-driven approach, applying cutting-edge AI to both life-saving maritime technology and sustainable agricultural practices.