Simulation of bioeconomy system using agent-based model in the case of smart, green, and conventional farming

• Published in: IOP conference series. Earth and environmental science 2019-02, Vol.230 (1), p.12118
• Main Authors: Viridi, S, Premadi, P, Aditiawati, P, Maqdir, E S, Suheri, T, Halid, J, Sari, K N, Pasaribu, U S, Sudaryani, N M, Latifah, N, Rahimah, S
• Format: Article
• Language: English
• ISSN: 1755-1307; 1755-1315; 1755-1315
• DOI: 10.1088/1755-1315/230/1/012118

Using agent-based model (ABM) interaction between agents in the form of weather (temperature and precipitation), soil, and plant for different farming system is simulated. Three farming system: conventional farming (CF), organic farming (OF), smart farming (SF) are chosen, where each has its own characteristics. Age of plant τ max = 30 day and lag time between two successive planting τ lag = 10 day are used for ten years simulation. In each year there are nine replanting process. It is observed that CF and OF are very dependent to the weather, while SF is not. This will make the last farming system very superior, constant and predicted results, compared to the other two based on the proposed model, especially how every system components influence size of the plant as assumed.