[Hiroshi Mineno] Development of a highly-accurate and self-adjusting prediction infrastructure for water stress-based cultivation method

PRESTO Researcher

Hiroshi Mineno

Hiroshi Mineno

College of Informatics, Academic Institute, Shizuoka University
Associate Professor

Outline

It has not been studied well a prediction model that can forecast sufficiently accurate plant growth under uncertainty data with seasonal change at geographically-diverse environment. In this research, I aim to develop a highly-accurate and self-adjusting prediction infrastructure for water stress-based cultivation method that influences the quality of plant.

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