[Kenichi Tatsumi] Development of rice growth model with high generalization capability by probability photosynthesis model

PRESTO Researcher

Kenichi Tatsumi

Kenichi Tatsumi

Graduate School of Agriculture, Tokyo University of Agriculture and Technology
Associate Professor

Outline

In this study, rice growth model with high generalization capability will be developed to improve the accuracy of the rice photosynthesis and yield by probability photosynthesis model, and aid in contributing cultivation optimization and risk assessment. Moreover, I will advance core technology to enable the rice yield reproducibility and prediction by 1) compensating for a bias and insufficiency of measured data using Monte Carlo simulation, 2) tackling the model effectiveness verification and refinement on cultivated field.

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