Shuso Kawamura
Papers
2
Total Citations
149
H-Index
2
About
Shuso Kawamura is a researcher whose work sits at the intersection of precision agriculture, food quality assessment, and sensor technology, with a particular focus on developing practical, real-time analytical tools for the dairy industry. His most influential contribution is the development of near-infrared spectroscopic (NIRS) sensing systems designed for on-line milk quality assessment within automated milking robots — a significant technological advancement that enables continuous, non-destructive monitoring of key milk constituents including fat, protein, and lactose, as well as somatic cell count (SCC), an important indicator of udder health. His 2008 paper on this topic has garnered 133 citations, reflecting its substantial influence on both the precision livestock farming community and the broader field of applied spectroscopy. Kawamura's research addresses a critical need in modern dairy operations: the ability to assess milk quality instantaneously and without disrupting production workflows. By validating NIRS as a reliable method for analyzing non-homogenized milk in real-world robotic milking environments, he has helped bridge the gap between laboratory-grade analysis and practical farm-level implementation, contributing meaningfully to the advancement of smart, data-driven agricultural systems.
Research Focus
Key Achievements
Top Papers
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