Abstract
Rice plays an important role in the lives of the people of Vietnam and the world. It is not only a major food source but also contributes greatly to the export activities. Brown planthopper (BPH) is one of the harmful objects in the production of rice to make rice weakened, poorly developed. Besides, BPH is a disease brokerage yellow dwarf and twisted leaves. In this study, we propose a data model to convert between GAMA and DIGIPLANT to simulate the development of rice under the destructive BPH. The model is trained with the images of rice plants when they were attacked by BPH on the DIGIPLANT software. The scope of this work is to study BPH transmit yellow dwarf disease on rice. This study combines the methods of modelling and agent-based modeling to develop an approach for simulating the growth and propagation of BPH under the impact of various environmental on GAMA. Agriculturists have provided the level of influence the height of the rice yellow dwarf disease infection based on the output of modelling the growth and propagation of BPH. The proposed method can change the rate the parameters of DIGIPLANT to display images of the rice according to the level of influence.
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Huynh, H.X., Huynh, M.B., Tran, H.T., Nguyen, H.T. (2020). A Data Conversion Approach Between GAMA and DIGIPLANT Simulating Rice Plant Growth Under Brown Planthopper Infestation. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_8
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DOI: https://doi.org/10.1007/978-3-030-66046-8_8
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