Viridi S. ; Premadi P. ; Aditiawati P. ; Maqdir E.S. ; Suheri T. ; Halid J. ; Sari K.N. ; Pasaribu U.S. ; Sudaryani N.M. ; Latifah N.
DOI: 10.1088/1755-1315/230/1/012118
Abstract
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. © 2019 Institute of Physics Publishing. All rights reserved.
Indexed keywords:
Engineering controlled terms
Autonomous agents; Simulation platform
Engineering uncontrolled terms
Agent-based model; Farming system; Lag-time; Organic farming; System components
Engineering main heading
Computational methods
This article can be accessed at: https://www.scopus.com/pages/publications/85062484124
