1) Get location.2) Set parameters.3) Run.4) View the results.
 
About TMC:
Tomorrow's Crop (TMC) is an on-line tool based on DSSAT crop simulation systems. Users can see how planting date influences yield as probability distributions that are based on 100 of possible weather scenarios generated from historical weather data. Currently, it has two components, which are Tomorrow's Rice (TMR) and Tomorrow's Wheat (TMW).

  • TMR collects the historical weather data from IRI, Columbia University ( daily minimum temperature, maximum temperatures and rainfall) and NASA ( daily solar radiation ). TMR also estimate the impact of climate change by applying World Bank's climate change data set.

  • TMW collects the historical weather data from CloudSense via OGC's SOS( Sensor Observation Service ). The original data source is NIAES's agro-weather data derived by model calculation from AMeDAS data. Currently only Memuro and Obihiro data is provided. The cultivar parameters of Kitahonami variety was calibrated against yield and field observation by a research project between Chubu University and IHI Corporation.


Developers:

Kiyoshi HONDA


Professor, Int'l Digital Earth Applied Science Research Center (IDEAS), Chubu Institute for Advanced Studies, Chubu University, Kasugai, Aichi, Japan.
Visiting Professor, Asian Institute of Technology, Pathumthani, Thailand.

Dr. Amor V.M. Ines


Associate Research Scientist,
International Research Institute for Climate and Society, Earth Institute, Columbia University, USA.

Dr. Apichon Witayangkurn


Project Researcher,
Institute of Industrial Science, The University of Tokyo, Japan.

Kumpee Teeravech


Geoinformatics Program, Faculty of Computer Science and Information Technology, Rambhai Barni Rajabhat University, Thailand.

Rassarin Chinnachodteeranun


Advisor to the permanent secretary, Ministry of ICT, Thailand.
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