Development of Stochastic Cellular Automata for Investigation of Rice’s Growth Rate and Yield Prediction in System of Rice Intensification for Khao Dawk Mali 105 Rice Line

Development of Stochastic Cellular Automata for Investigation of Rice’s Growth Rate and Yield Prediction in System of Rice Intensification for Khao Dawk Mali 105 Rice Line

Institute for Innovative Learning, Mahidol University

Research Title:

Development of Stochastic Cellular Automata for Investigation of Rice’s Growth Rate and Yield Prediction in System of Rice Intensification for Khao Dawk Mali 105 Rice Line

Researcher:

Dr.Monamorn Precharattana

Closing the yield gap of rice production is urgently needed to improve food security in the ever-expanding world population. We propose a stochastic cellular automata (CA) model to describe spatial dynamics of rice growth under the system of rice intensification (SRI) to identify best planting practice. We expected that our CA model can be used to describe the dynamics of rice growth, which may be a predictive feature of rice yield in future.

Publishing:
• Precharattana M, Kajonphol T. A stochastic cellular automata model for rice tillering in the system of rice intensification. InJournal of Physics: Conference Series 2018 Jul (Vol. 1053, No. 1, p. 012104). IOP Publishing.
• Kajonphol T, Seetaput N, Precharattana M, Sangsiri C. Correlation and multiple regression model for economic traits of local rice (Oryza sativa L.) in upland rice system. InApplied mechanics and materials 2018 (Vol. 879, pp. 71-77). Trans Tech Publications.

Key Contact Person:
Dr.Monamorn Precharattana
Institute for Innovative Learning, Mahidol University