scholarly journals An Agent-Based Model-Driven Decision Support System for Assessment of Agricultural Vulnerability of Sugarcane Facing Climatic Change

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3061
Author(s):  
Alina Evelyn Badillo-Márquez ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Marco Augusto Miranda-Ackerman ◽  
Oscar Osvaldo Sandoval-González ◽  
Daniel Villanueva-Vásquez ◽  
...  
Keyword(s):  
System Dynamics ◽  
Agricultural Sector ◽  
Dynamic Assessment ◽  
Agricultural System ◽  
Total System ◽  
Agricultural Risk ◽  
Agent Based ◽  
Weather Patterns ◽  
Social Ability ◽  
Agricultural Vulnerability

In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting agricultural production. Agricultural systems are characterized by being vulnerable to the variation of biophysical and socioeconomic factors involved in the development of agricultural activities. Agent-based models (ABMs) enable the study, analysis, and management of ecosystems through their ability to represent networks and their spatial nature. In this research, an ABM is developed to evaluate the behavior and determine the vulnerability in the sugarcane agricultural system; allowing the capitalization of knowledge through characteristics such as social ability and autonomy of the modeled agents through fuzzy logic and system dynamics. The methodology used includes information networks for a dynamic assessment of agricultural risk modeled by time series, system dynamics, uncertain parameters, and experience; which are developed in three stages: vulnerability indicators, crop vulnerability, and total system vulnerability. The development of ABM, a greater impact on the environmental contingency is noted due to the increase in greenhouse gas emissions and the exponential increase in extreme meteorological phenomena threatening the cultivation of sugarcane, making the agricultural sector more vulnerable and reducing the yield of the harvest.

scholarly journals Validation of Agent-based Approach for Simulating the Conversion to Organic Farming

Organizacija ◽  
2017 ◽  
Vol 50 (3) ◽  
pp. 235-242
Author(s):  
Črtomir Rozman ◽  
Andrej Škraba ◽  
Karmen Pažek ◽  
Davorin Kofjač
Keyword(s):  
System Dynamics ◽  
Organic Farming ◽  
Agricultural Sector ◽  
Agent Based Modeling ◽  
Agent Based Model ◽  
Dynamics Model ◽  
Agent Based Models ◽  
Geospatial Information ◽  
Agent Based ◽  
Comparison Of The Results

Abstract Background and Purpose: The purpose of this study is to describe the principles of the development of parallel system-dynamics and agent-based models of organic farming for the case of Slovenia. The advantage of agent-based modeling is demonstrated by including geospatial information as an agent attribute. The models were compared by the validation, confirming the appropriate level of similarity. Design/Methodology/Approach: Both system-dynamics and agent-based modeling approaches were applied. Statistical methods were used in the validation. Results: The results of the validation confirm the appropriateness of the proposed agent-based model. Introducing additional attributes into the agent-based model provides an important advantage over the system-dynamics model, which serves as the paradigmatic example. Conclusion: A thorough validation and comparison of the results of the system-dynamics and agent-based models indicates the proper approach to combining the methodologies. This approach is promising, because it enables the modeling of the entire agricultural sector, taking each particular farm into account.

scholarly journals A Literature Review of Hybrid System Dynamics and Agent-Based Modeling in a Produced Water Management Context

Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 224-239
Author(s):  
Saeed P. Langarudi ◽  
Robert P. Sabie ◽  
Babak Bahaddin ◽  
Alexander G. Fernald
Keyword(s):  
Water Management ◽  
New Mexico ◽  
Literature Review ◽  
System Dynamics ◽  
Oil And Gas ◽  
Produced Water ◽  
Hybrid Approach ◽  
Oil And Gas Industry ◽  
Hybrid Modeling ◽  
Agent Based

This paper explores the possibility and plausibility of developing a hybrid simulation method combining agent-based (AB) and system dynamics (SD) modeling to address the case study of produced water management (PWM). In southeastern New Mexico, the oil and gas industry generates large volumes of produced water, while at the same time, freshwater resources are scarce. Single-method models are unable to capture the dynamic impacts of PWM on the water budget at both the local and regional levels, hence the need for a more complex hybrid approach. We used the literature, information characterizing produced water in New Mexico, and our preliminary interviews with subject matter experts to develop this framework. We then conducted a systematic literature review to summarize state-of-the-art of hybrid modeling methodologies and techniques. Our research revealed that there is a small but growing volume of hybrid modeling research that could provide some foundational support for modelers interested in hybrid modeling approaches for complex natural resource management issues. We categorized these efforts into four classes based on their approaches to hybrid modeling. It appears that, among these classes, PWM requires the most sophisticated approach, indicating that PWM modelers will need to face serious challenges and break new ground in this realm.

scholarly journals Trends and Policy Correlates of Agricultural Production and Agricultural Production Sustainability Outcomes in Ghana and Nigeria

2015 ◽  
Vol 8 (9) ◽  
pp. 71
Author(s):  
Olawale Emmanuel Olayide ◽  
Isaac Kow Tetteh ◽  
Labode Popoola
Keyword(s):  
Sustainable Development ◽  
International Development ◽  
Agricultural Production ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Agricultural System ◽  
Political Systems ◽  
Development Agenda ◽  
Development Outcomes ◽  
Development Agendas

This paper analysed policy correlates of agricultural production and agricultural production sustainability outcomes in Ghana and Nigeria. It underscores the influence of political systems and international development agendas as correlates of agricultural production and agricultural production sustainability outcomes. This is to the extent of providing evidence policy on agricultural production and agricultural production sustainability outcomes. Ghana and Nigeria have comparable farming/agricultural system and policy environment. Data used for the analyses spanned five decades. Trends analysis and inferential statistics were employed. The results revealed that policy correlates can contribute to the current discourse in sustainable development agenda and to resolving the dilemma of agricultural policy implementation for sustainable agricultural development, especially in Ghana and Nigeria. The findings reinforce the need for appropriate policies in transforming the agricultural sector while ensuring sustainable development outcomes.

scholarly journals A Hybrid Simulation Modelling Framework for Combining System Dynamics and Agent-Based Models

2021 ◽  
Author(s):  
Le Khanh Ngan Nguyen ◽  
◽  
Susan Howick ◽  
Itamar Megiddo ◽  
◽  
...  
Keyword(s):  
System Dynamics ◽  
Hybrid Simulation ◽  
Simulation Modelling ◽  
Agent Based Models ◽  
Agent Based ◽  
Modelling Framework

Public Policies for the Development of Agroecosystems Resilient to Climate Change

2020 ◽  
Vol 13 (11) ◽  
Author(s):  
M.J. Mikery-Gutiérrez ◽  
A. Pérez-Vázquez ◽  
J.P. Martínez-Dávila ◽  
O. Ruiz-Rosado ◽  
J.C. García-Albardo
Keyword(s):  
Climate Change ◽  
Design Methodology ◽  
Agricultural Sector ◽  
Theoretical Study ◽  
Public Policies ◽  
Agricultural System ◽  
Multiple Sources ◽  
Factors Associated

Objective: Analyze public policies in Mexico facing climate change in agriculture that allow the development of resilient agroecosystems. Design/methodology/approach: An analysis of research on resilience to climate change in the agricultural and rural sectors, as well as analysis of literature on public policies formulated to climate change in the agricultural sector (period 2013-2019), was realized. Results: Multiple sources of resilience for agroecosystems are present. Policies could be oriented to identify such sources and to strengthen capacities according to different scales and contexts. There is the possibility of considering factors associated with the evolution of these systems to employ strategies that are consistent and that allow coordination between political levels. Limitations of the study/Implications: This is a theoretical study restricted to the available literature published until 2019. Findings/Conclusions: Public policies require integrating the perspective of the dynamics of the complex agricultural system and the multiple sources of resilience at different scales and contexts, articulating the development of resilient agroecosystems to climate change.

Multi-Methodology Approach

2021 ◽  
pp. 98-128
Keyword(s):  
System Dynamics ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Multiple Methods ◽  
Soft Systems ◽  
Agent Based ◽  
Event Simulation ◽  
Pluralistic Approach ◽  
The Difference

The pluralistic approach in today's world needs combining multiple methods, whether hard or soft, into a multi-methodology intervention. The methodologies can be combined, sometimes from several different paradigms, including hard and soft, in the form of a multi-methodology so that the hard paradigms are positivistic and see the organizational environment as objective, while the nature of soft paradigms is interpretive. In this chapter, the combination of methodologies has been examined using soft systems methodologies (SSM) and simulation methodologies including discrete event simulation (DES), system dynamics (SD), and agent-based modeling (ABM). Also, using the ontological, epistemological, and methodological assumptions underlying the respective paradigms, the difference between SD, ABM, SSM; a synthesis of SSM and SD generally known as soft system dynamics methodology (SSDM); and a promising integration of SSM and ABM referred to as soft systems agent-based methodology (SSABM) have been proven.

Sign in / Sign up

Export Citation Format

Share Document