Calibration of Rice Growth Model in Japan

Lead PI: Eun Jin Han

Unit Affiliation: International Research Institute for Climate and Society (IRI)

January 2017 - November 2017
Inactive
Asia ; Japan
Project Type: Research

DESCRIPTION: This project aims to calibrate DSSAT crop growth models for rice in Japan, by which final information consumers (Farmers) will be able to carry out scenario simulation on fertilizer/risk assessment. Sensor data will be fed to SOS sensor web infrastructure (cloudSense), which will provide data to a visualization web page, as well as program to generate DSSAT input data for both data assimilation and simulations. Using climate forecast information (e.g., from IRI, Colombia, or NARO, Japan), seasonal weather realizations are generated by a weather generator to obtain most possible weather in the rest of the cropping season. This will be used for crop yield prediction and risk assessment analysis.

OUTCOMES: Genetic coefficients for Japanese rice cultivars were calibrated and used for agricultural decision making given seasonal climate forecasts.

SPONSOR:

Michigan State University

ORIGINATING SPONSOR:

ListenField Co Ltd

FUNDED AMOUNT:

$5,000

EXTERNAL COLLABORATORS:

Michigan State University

KEYWORDS

seasonal climate forecast crop growth models rice

THEMES

Modeling and Adapting to Future Climate