Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia

Musayev, Sardorbek; Mellor, Jonathan; Walsh, Tara; Anagnostou, Emmanouil N.

doi:10.3390/forecast4010020

Cited by 3 publications

(1 citation statement)

References 70 publications

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“…Examined household food security, climate outlook, and agricultural productivity [133][134][135][136][137] Natural and Human systems Examined climate change, hunger, and rural health through the lens of farming styles [115] Natural and human systems Simulated small-scale farmers' agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time [138] Natural and human systems Projected the effect of crop yield increases, dietary change, and different price scenarios on land use under two different state security regimes [111] Natural and human systems Examined Food security and global trade [101] Human systems…”

Section: Remote Sensing and Artificial Intelligence Techniques (Neura...mentioning

confidence: 99%

The Application of Artificial Intelligence Models for Food Security: A Review

Sarku,

Clemen,

Clemen

2023

Agriculture

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Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling research for food security purposes. This study systematically reviews the existing literature to bridge the knowledge gap in AI and food security, focusing on software modelling perspectives. The study found the application of AI models to examine various indicators of food security across six continents, with most studies conducted in sub-Saharan Africa. While research organisations conducting AI modelling were predominantly based in Europe or the Americas, their study communities were in the Global South. External funders also supported AI modelling research on food security through international universities and research institutes, although some collaborations with local organisations and external partners were identified. The analysis revealed three patterns in the application of AI models for food security research: (1) the exclusive utilisation of AI models to assess food security situations, (2) stakeholder involvement in some aspects of the AI modelling process, and (3) stakeholder involvement in AI modelling for food security through an iterative process. Overall, studies on AI models for food security were primarily experimental and lacked real-life implementation of the results with stakeholders. Consequently, this study concluded that research on AI, which incorporates feedback and/or the implementation of research outcomes for stakeholders, can contribute to learning and enhance the validity of the models in addressing food security challenges.

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Section: Remote Sensing and Artificial Intelligence Techniques (Neura...mentioning

confidence: 99%

The Application of Artificial Intelligence Models for Food Security: A Review

Sarku,

Clemen,

Clemen

2023

Agriculture

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Agent-Based Modeling for Household Decision-Making in Adoption of Private Flood Mitigation Measures: The Upper Kan Catchment Case Study

Nabinejad,

Schüttrumpf

2024

Water

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Residential areas in developing arid and semi-arid countries are highly vulnerable to flooding, and water shortages have forced their inhabitants to live close to rivers. While climate change is expected to cause more extreme weather conditions in the future, adopting private loss-reduction measures can diminish flood risk. Although the number of flood models has grown significantly for developing arid and semi-arid lands, these models suffer from being incapable of performing micro-scale flood risk analysis and including household behaviors. This research work presents a novel socio-economic simulation model in the framework of flood risk management (FRM) to couple household adaptive responses with flood risk analysis. Agent-based modeling (ABM) embeds human behaviors in a flood-simulating environment. The focus of this research is the upper Kan catchment in Iran with a long history of severe flash flooding. Our results show the ability of the developed framework to address household participation in FRM activities through private precautionary measures. Moreover, the results indicate the importance of presenting such micro-level behaviors in flood modeling for a more realistic flood risk assessment. It is also demonstrated that household adaptation in a continuous way can lead to less flood risks in the region, even under climate change and the future economy. Finally, the results reveal that the remaining and diminished regional flood risks are influenced by the behavioral framework through which the individuals make decisions in adopting flood-loss-reduction measures. A similar pattern is, however, observed in household contributions over time among the discussed behavioral approaches.

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Analysis on the Development Trend and Influencing Factors of Intelligent Agriculture in Anhui Province

Duan¹

2022

AJST

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With the implementation of the "Internet +" strategy, the modern integration of information technology and agriculture has also entered the fast lane of development. A large number of high-tech equipment and technologies have been gradually integrated into agricultural production, greatly improving the efficiency of agriculture. Realizing agricultural intellectualization and modernization has become an important goal of China's agricultural and rural work at this stage. This paper establishes a model to analyze the current development trend and main influencing factors of smart agriculture in Anhui Province, so as to provide empirical reference for the development of smart agriculture. Firstly, the key factors affecting agricultural productivity in Anhui Province are the change of agricultural scale and agricultural productivity by using tobit-u model, and then the research results show that the change of agricultural productivity in Anhui Province is the key factor to improve agricultural productivity The level of industrialization has a significant role in promoting the production efficiency of smart agriculture in Anhui Province, and the level of financial agricultural expenditure and urbanization rate have a significant negative effect.

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Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia

Cited by 3 publications

References 70 publications

The Application of Artificial Intelligence Models for Food Security: A Review

The Application of Artificial Intelligence Models for Food Security: A Review

Agent-Based Modeling for Household Decision-Making in Adoption of Private Flood Mitigation Measures: The Upper Kan Catchment Case Study

Analysis on the Development Trend and Influencing Factors of Intelligent Agriculture in Anhui Province

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