[vc_empty_space][vc_empty_space]
Simulation of bioeconomy system using agent-based model in the case of smart, green, and conventional farming
Viridi S.a, Premadi P.a, Aditiawati P.a, Maqdir E.S.b, Suheri T.c, Halid J.a, Sari K.N.a, Pasaribu U.S.a, Sudaryani N.M.d, Latifah N.e, Rahimah S.f
a Department of Physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia
b Swadaya Petani Indonesia, Bandung, Indonesia
c Department of Urban and Regional Planning, Universitas Komputer Indonesia, Bandung, Indonesia
d People (Soft Skill) Development Program, Bogor, Indonesia
e Australia Awards in Indonesia, Jakarta Selatan, Indonesia
f Laboratory of Food Processing Technology, Department of Food Industrial Technology, Faculty of Agro-industrial Technology, Universitas Padjadjaran, Sumedang, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 Institute of Physics Publishing. All rights reserved.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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Agent-based model,Farming system,Lag-time,Organic farming,System components[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/230/1/012118[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]