Application of multi-objective genetic algorithm for optimal combination of resources to achieve sustainable agriculture based on the water-energy-food nexus framework

Mirakzadeh, Ali Asghar; Azari, Arash

doi:10.1016/j.scitotenv.2022.160419

Cited by 39 publications

(10 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The exploitation of natural resources in this sector certainly has a negative impact on environmental quality (Caglar et al 2024;Chien et al 2023;Tinh et al 2023;Udeagha and Ngepah 2023). In order to achieve optimal production, this sector continues to be exploited without regard to the sustainability of natural resources (Karamian et al 2023;Tinh et al 2023). In the process of agricultural cultivation, emissions are released, both carbon dioxide emissions (Co2) and methane gas emissions (CH4), which are gases contributing to environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis

Lestari,

Prajanti,

Adzim

et al. 2024

Economies

View full text Add to dashboard Cite

Inefficiency is a problem in the production process, including in the organic farming sector. Over a long term period, this problem can disrupt the productivity of agricultural crops. This research aims to analyze the production and marketing efficiency of organic cabbage farming in the Kopeng agropolitan area, Indonesia. We utilized a Cobb–Douglas production efficiency analysis with the Stochastic Frontier Analysis (SFA) approach. The variables in this study include organic cabbage production, land area, seedlings, organic fertilizers, organic pesticides, and labor. We conducted in-depth interviews with 60 organic cabbage farmers in Kopeng, Indonesia, from January to August 2023. The research results showed that organic cabbage cultivation was economically inefficient in production, technical, and marketing. The use of organic fertilizers, the ability to diversify products on limited land, and the use of pesticides, have not been utilized optimally yet. The results of the marketing efficiency analysis showed that it was efficient. Organic plants were believed to have their market share and to have a higher selling value than non-organic ones. The implication was that the government needed to provide training in producing organic fertilizers and pesticides to reduce production costs so that organic farming could be technically and financially efficient. This research enriched the discussion regarding the need to analyze production and marketing efficiency to find strategies to increase organic cabbage productivity.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis

Lestari,

Prajanti,

Adzim

et al. 2024

Economies

View full text Add to dashboard Cite

show abstract

“…Water and energy are not only the foundation of high-quality development in rural areas but also important constraints (Karamian et al, 2023). Economic growth needs to consume more water resources and energy, and it can also provide funds and technology for the utilization of water resources and energy (Kong et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The evolution trend, regional differences, and influencing factors of sustainable development efficiency in rural China under the constraint of water and energy

Ding

Hao

et al. 2023

Natural Resources Forum

View full text Add to dashboard Cite

Water and energy are not only the foundation of high‐quality development in rural areas but also important constraints. Exploring the inner relationship between water, energy, and economic development has important significance for the high‐quality development in rural areas. This paper first constructs the evaluation index system of high‐quality development in rural areas, and quantifies high‐quality development levels in rural China from 1997 to 2021. Second, from the perspective of water footprint, the Super‐slack based measure model is used to calculate sustainable development efficiency under the constraint of water and energy. Finally, kernel density function, Gini coefficient method, and Tobit model are used to explore the evolution trend, regional differences, and driving factors of sustainable development efficiency in rural China. The results show that: (1) Under the constraint of water and energy, sustainable development efficiency in rural China is relatively low, showing a fluctuating trend of first rising and then declining. The efficiency in the western and eastern regions is higher than the national average, while the central region is the lowest. (2) The evolution trend of sustainable development efficiency in rural China, both the eastern and the western regions, shows the characteristics of “decreasing efficiency and weak polarization phenomenon,” while the central region shows the characteristics of “decreasing efficiency and no polarization phenomenon.” (3) The regional differences illustrate a fluctuating upward trend, which is mainly caused by the hypervariable density, followed by the differences among provinces in the eastern region. (4) Economic development, opening up, and rural marketization are the main factors.

show abstract

“…In recent years, intelligent algorithms [17] and evolutionary algorithms [18] have offered potential solutions to this problem. Among the available computational methods, the particle swarm optimization algorithm [19], ant colony algorithm [20], artificial neural networks [21], and especially genetic algorithms [22][23][24], along with their improved versions [25][26][27], have been widely adopted in optimal reservoir scheduling and management due to their notable advantages.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Control of Flood Limited Water Levels for Parallel Reservoirs by Considering Forecast Period Uncertainty

Li,

Feng

et al. 2023

Sustainability

View full text Add to dashboard Cite

The objective of this study is to achieve the dynamic optimization of the flood limited water level (FLWL) in parallel reservoirs, using Luhun Reservoir and Guxian Reservoir as case studies. The innovation lies in establishing a dynamic control optimization model for the FLWL of parallel reservoirs, considering the uncertainty in the forecasting period of the flood forecast due to the varying locations of the rainstorm center from upstream to downstream. To commence, the Fisher optimal segmentation method is employed for flood season staging to determine the staged FLWL of each reservoir. Subsequently, considering the uncertainty in the foresight period, the upper range of the dynamic FLWL is determined through the improved pre-discharge capacity constraint method and Monte Carlo simulation. Finally, a multi-objective optimization model is established to determine the optimal dynamic FLWL control operation scheme for parallel reservoirs, utilizing the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). This model takes into account both downstream flood control requirements and the water supply benefits of the parallel reservoirs. Through the optimization of the scheme, the water supply of the parallel reservoirs can be augmented by 15,347.6 m3 during the flood season. This optimization effectively achieves a harmonious balance between flood control and water supply, holding significant implications for mitigating drought risks amid changing conditions.

show abstract

Application of multi-objective genetic algorithm for optimal combination of resources to achieve sustainable agriculture based on the water-energy-food nexus framework

Cited by 39 publications

References 40 publications

Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis

Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis

The evolution trend, regional differences, and influencing factors of sustainable development efficiency in rural China under the constraint of water and energy

Dynamic Control of Flood Limited Water Levels for Parallel Reservoirs by Considering Forecast Period Uncertainty

Contact Info

Product

Resources

About