Kanami Yuyama
Papers
1
Total Citations
2
H-Index
1
About
Kanami Yuyama is a researcher at the forefront of agricultural informatics, leveraging computational methods to address the critical challenges of an aging and shrinking farming workforce in Japan. Her work centers on the representation of plant structure and its application to cultivation management, aiming to digitize and preserve tacit farming knowledge. Yuyama’s most cited paper, “Representation of Plant Structure using XML and Its Application to Cultivation Management” (2020), introduces a novel framework for encoding plant morphology and growth data into a structured, machine-readable format. This XML-based approach enables the systematic recording of cultivation processes, facilitating the transfer of expert skills to novice farmers and supporting the development of intelligent decision-support systems for precision agriculture. By bridging the gap between traditional farming expertise and modern data science, Yuyama’s contributions are pivotal in making agriculture more accessible and efficient. Her work has garnered attention for its potential to revolutionize farm management, offering a scalable solution to labor shortages and knowledge loss. With a clear focus on practical impact, Kanami Yuyama is shaping the future of sustainable agriculture through digital innovation.
Research Focus
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Top Papers
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