The relationship between economic development and the environment is known as one of the most important issues facing societies. If in the context of sustainable development, economic and environmental activities are considered together, the environment and economic development are two complementary factors and, as a result, it will lead to ecological balance. In this case, economic activities will not disturb this balance. Presently, the imperative of safeguarding the environment and attaining sustainable development has ascended to a prominent position on the agendas of diverse societies, Iran included. This commitment is underscored by the execution of comprehensive economic, social, and cultural initiatives aimed at fostering long-term ecological resilience and balanced societal progress. Therefore, to preserve the environment and meet the goals of sustainable development, as well as to guide and rationally manage plans and projects, especially in the agricultural sector, serious measures should be taken. Therefore, this study was carried out to evaluate the operational, environmental, and eco-efficiency of the major agricultural products of the irrigation and drainage networks of Gotvand.
The irrigation and drainage network of Gotvand is located in the southwest of Iran in Khuzestan province. This network is designed to irrigate lands located in three regions of Gotvand, Aghili, and Dimcheh, enclosed between two rivers, Karun and Lor. According to the official statistics of government organizations, the consumption of fertilizers and chemical poisons in the lands covered by this network is 3.6 times the average limit in Iran. The excess irrigation water in this network is returned to the rivers by the built-in drains and causes water pollution downstream of the network. Therefore, considering that environmental protection is one of the most important aspects of sustainable development, it is very important to investigate the effects of the use of pesticides and chemical fertilizers in agriculture and to introduce solutions to improve the efficiency of the environment in the study area.
Evaluation and Optimization of Energy and Environmental Indicators Using Life...J. Agricultural Machinery
Introduction: Environmental crises and resource depletion have adversely affected environmental resources and food security in the world. Therefore, with the global population growth in the coming years and the rising need to produce more food, attention must be given to environmental issues, energy consumption, and sustainable production. The purpose of this study is to evaluate the pattern of energy consumption, environmental impacts, and optimization of the studied energy indicators in dairy cattle breeding industrial units in Khuzestan province, Iran.
Materials and Methods: This research was conducted in Khuzestan province, located in the southwest of Iran. Energy indicators including energy ratio, energy efficiency, specific energy, and net energy were used to determine and analyze the relationships between the output and input energy. Additionally, the life cycle assessment methodology was used to assess the environmental impact. Life cycle assessment includes a goal statement, identification of inputs and outputs, and a system for assessing and interpreting environmental impacts, and can be a good indicator for assessing environmental issues related to production. The life cycle assessment method used in this study was CML-IA baseline V3.05, which includes the four steps of (1) selecting and classifying impact categories, (2) characterizing effects, (3) normalizing, and (4) weighting. Overall, 11 impact groups were studied. The Data Envelopment Analysis (DEA) method with the Anderson-Peterson model was used for optimization. This method identifies the most efficient production unit and makes it possible to rank all of the farms in the region. In this study, each production unit (farm) was considered a decision-making unit (DMU), and its production efficiency was determined based on two models. Namely, the Charnes, Cooper, and Rhodes (CCR) model also known as Constant Return to Scale (CRS), and the Banker, Charnes, and Cooper (BCC) model also known as Variable Return to Scale (VRS).
Results and Discussion: The results showed that the input and output energies per cow per day were 173.34 and 166 MJ, respectively. Livestock feed and electricity accounted for 65.47% and 27.2% of the input energy, respectively, while the oil used for tiller-scraper lubrication of fertilizer collection accounted for only 0.01%, making it the lowest input energy. Energy efficiency, specific energy, and net energy were calculated as 0.95, 0.13 kg MJ-1, 7.51 MJ kg-1, and -7.20 MJ per cow, respectively. In the abiotic depletion impact group, animal feed, machinery, and livestock equipment had the highest environmental impacts. The results showed that animal feed had the highest environmental emissions in all impact groups except for abiotic depletion of fossil fuels where electricity had the greatest effect. CRS model determined that 7 units were efficient; with an average efficiency of 0.78. In the BCC model, 20 production units were calculated as highly efficient,
During the 1950s and 1960s, the green revolution led to a dramatic increase in global food and fodder production to eliminate hunger and boost food security. This production enhancement was accompanied by an intensified agricultural and chemical input consumption and increased cultivated area and mechanization. Although yield per unit area has improved in most crops, concerns about food security for the world's rising population are still significant. Guaranteeing food security in the future will necessitate a shift in management approaches to boost output, agroecosystem sustainability, and stability and reduce the environmental harm caused by agriculture. The first step to achieving sustainability and ecological intensification in agricultural systems is to have a comprehensive agroecological analysis of agricultural systems in each region. Hence, the complete evaluation and analysis of agroecological features according to their type in each region is necessary for establishing an optimal management technique. After analyzing the present state of each region's shared ecosystems, the optimal strategy for boosting production stability must be devised and implemented.
The growing importance of energy resources in the formation and growth of economic processes, as well as the need to exploit these resources based on environmental considerations and sustainable economic development, the issue of energy saving as an important issue in all economic infrastructures, including industry. Global warming, declining crop yields, climate change and acid rain are the result of fossil fuel consumption. Hence, in recent years, there has been a growing global emphasis on renewable energy across both developed and developing nations. The primary objective is to decrease reliance on conventional energy sources, mitigate environmental pollution, and attain sustainable energy practices.
Grape (Vitis vinifera L.) is one of the most important agricultural products in the Mediterranean. Today, grapes are grown in a large area of the world's gardens. The world production of grapes was about 77.8 million tons in 2018, of which 1.3 million tons were converted into raisins. According to the latest data of FAO, Iran has an annual production of 24.45 million tons of grapes in an area of 213 thousand hectares, accounting for 3% of the world's grape production. The average yield per hectare of vineyard is reported to be 15.5 tons. The purpose of this study is to determine hot spots in terms of energy and cost in the production of Malayer grapes with the approach of material and energy flow costing (MEFCA). The primary focus of material and energy flow cost accounting is on waste (waste of energy, materials and potential human capacity).
The development process of organic cultivation in Iran is not favorable because the average growth rate of organic agriculture development from 2008 to 2019 according to FAO statistics in 2021 is equal to -0.47% and this is while foods contaminated with various substances Chemicals have an unpleasant effect on the general health of society. According to the statistics of 2021, 600 million people in the world, i.e. 1 out of every 10 people, will get sick after eating food. Since any change in the use of chemicals in agriculture should be based on the behavior of farmers, the purpose of this study is to investigate the behavioral intention to produce organic pistachio production among 5200 pistachio growers in Ardakan county, Yazd province, using the Decomposed Theory of Planned Behavior (DTPB) analysis.
In order to meet the increasing demands of the growing population, it is essential to boost rice production. This not only ensures food security but also helps maintain environmental well-being. To achieve these goals, it is crucial for crop management research to focus on increasing rice yields while minimizing water usage. In Iran, particularly in the Rudbar region, recognizing the significance of rice cultivation in agriculture is of utmost importance. To improve rice field management, various aspects such as water and soil resource management, pest and disease control, nutrition management, sales and marketing strategies, human resources and social capital management, as well as technical and agricultural improvements need to be addressed. Therefore, the aim of the present study was to identify more effective methods for managing the rice fields in Rudbar county, Iran. Materials and Methos Initially, the researchers conducted a comprehensive analysis of available national and international databases to gather background information for the study. This analysis aimed to establish an initial list of components that could contribute to improving the management of rice fields. The statistical population of the study consisted of all 850 rice farmers in Rudbar City. Using the Karjesi-Morgan table, a statistical sample size of 265 participants was estimated, which corresponded to the size of the population. Eventually, 252 questionnaires were collected after distributing them to the participants, resulting in an 88% response rate. The opinions of faculty members from Tehran University's Department of Agricultural Management and Development were sought to assess the content validity of the questionnaire which was finally confirmed. To assess the reliability or internal consistency of the questionnaire, Cronbach's alpha coefficient was calculated for each of its components. All coefficients were found to be above 0.7, indicating good reliability of the study tool. The data obtained from the questionnaires was subjected to statistical analysis using the LISREL 8.8 software. A confirmatory factor analysis model was applied to examine the data. The reliability of the indicators loaded on each structure was evaluated using the t statistic. Indicators with values exceeding the critical limit of 1.96 were considered to have the required precision for measuring the relevant structure. Additionally, significant factor loadings were determined by extracting values greater than 0.5 from the factor loadings. It is important to note that Cronbach's alpha (with values higher than 0.7) was utilized to assess the reliability of the constructs.
A Multi-Objective Optimization to Determine The Optimal Patterns of Sustainab...J. Agricultural Machinery
Introduction
The development of mechanization and machine technology can have positive and negative effects on the economic, social, and environmental conditions of a region. Conflicts in these areas complicate the selection and optimization of sustainable mechanization systems. One of the basic questions in the selection of a sustainable agricultural mechanization system is how and with what methodology would it be possible to propose the closest mechanization model that will overcome the simultaneous contradictions between the three pillars of sustainability; taking into account the natural and technical limitations in agricultural production. What is the appropriate approach considering the economic, environmental, and social aspects? The current research aims to provide a framework for an optimal mechanization model to achieve the goals of agricultural sustainability so that it can be implemented and applied practically. It is possible to provide a model that addresses the conflicting economic, social, and environmental aspects by quantitatively optimizing the level of mechanization.
Materials and Methods
In this study, a framework is applied whereby contradictory goals of agricultural sustainability can be achieved simultaneously. After selecting the indices and data collection, by combining Shannon entropy and TOPSIS, the similarity index was obtained for each objective. The similarity indices and values of the Benefit-Cost Ratio calculated for each system were considered as coefficients of three objective (economic, social, and environmental) functions in multi-objective optimization. The multi-objective optimization model was applied to achieve sustainable mechanization patterns and was solved using the NSGA-II algorithm. For framework validation, paddy production mechanization systems in the Ramhormoz region located in southwestern Iran were analyzed with constraints: land, water, and machinery. The five mechanization systems of paddy production included puddled transplanted, un-puddled transplanted, water seeded, dry seeded, and, no-till.
Results and Discussion
Pareto-optimal solutions of different scenarios with water and machine constraints showed that this framework cannot only meet the sustainable goals, but also the optimal allocation of mechanization systems is identified and the effect of different scenarios under different constraints can be examined. The sustainability goals between the no-tillage and planting with puddling systems are highly contradictory. The no-tillage system has the highest score in the environmental aspect and the lowest score in the social and economic aspects. This modern system was developed in Ramhormoz three years ago and has faced technical, economic, and social challenges ever since. The cultivated area using this system was 43 hectares in 2019. Despite the speed and ease of planting with this system, and its direct environmental benefits, the possibility of fungal outbreaks is raised due to the pre
Nitrogen (N) is one of the main limiting factors in agroecosystems all around the world. However, high application rates of N fertilizers would lead to negative environmental consequences. Reduction of N fertilizers consumption decreases production costs and environmental pollution. Therefore, N efficiency to be enhanced due to the high N fertilizer cost and required measures to prevent the waste of N. Cultivation of diverse crop cultivars with higher resources absorption and utilization efficiency is one of the major approaches in sustainable agriculture that would result in the effective use of natural and chemical inputs and reduce significantly the environmental risks. Quchan City is one of the potato production poles in Khorasan Razavi province. In this region, large amounts of N fertilizers annually are consumed in the potato agroecosystem. Therefore, the potato of the present study was evaluating N uptake and utilization efficiency, and finally, N uses efficiency in the potato agroecosystem of Quchan.
Evaluation and Optimization of Energy and Environmental Indicators Using Life...J. Agricultural Machinery
Introduction: Environmental crises and resource depletion have adversely affected environmental resources and food security in the world. Therefore, with the global population growth in the coming years and the rising need to produce more food, attention must be given to environmental issues, energy consumption, and sustainable production. The purpose of this study is to evaluate the pattern of energy consumption, environmental impacts, and optimization of the studied energy indicators in dairy cattle breeding industrial units in Khuzestan province, Iran.
Materials and Methods: This research was conducted in Khuzestan province, located in the southwest of Iran. Energy indicators including energy ratio, energy efficiency, specific energy, and net energy were used to determine and analyze the relationships between the output and input energy. Additionally, the life cycle assessment methodology was used to assess the environmental impact. Life cycle assessment includes a goal statement, identification of inputs and outputs, and a system for assessing and interpreting environmental impacts, and can be a good indicator for assessing environmental issues related to production. The life cycle assessment method used in this study was CML-IA baseline V3.05, which includes the four steps of (1) selecting and classifying impact categories, (2) characterizing effects, (3) normalizing, and (4) weighting. Overall, 11 impact groups were studied. The Data Envelopment Analysis (DEA) method with the Anderson-Peterson model was used for optimization. This method identifies the most efficient production unit and makes it possible to rank all of the farms in the region. In this study, each production unit (farm) was considered a decision-making unit (DMU), and its production efficiency was determined based on two models. Namely, the Charnes, Cooper, and Rhodes (CCR) model also known as Constant Return to Scale (CRS), and the Banker, Charnes, and Cooper (BCC) model also known as Variable Return to Scale (VRS).
Results and Discussion: The results showed that the input and output energies per cow per day were 173.34 and 166 MJ, respectively. Livestock feed and electricity accounted for 65.47% and 27.2% of the input energy, respectively, while the oil used for tiller-scraper lubrication of fertilizer collection accounted for only 0.01%, making it the lowest input energy. Energy efficiency, specific energy, and net energy were calculated as 0.95, 0.13 kg MJ-1, 7.51 MJ kg-1, and -7.20 MJ per cow, respectively. In the abiotic depletion impact group, animal feed, machinery, and livestock equipment had the highest environmental impacts. The results showed that animal feed had the highest environmental emissions in all impact groups except for abiotic depletion of fossil fuels where electricity had the greatest effect. CRS model determined that 7 units were efficient; with an average efficiency of 0.78. In the BCC model, 20 production units were calculated as highly efficient,
During the 1950s and 1960s, the green revolution led to a dramatic increase in global food and fodder production to eliminate hunger and boost food security. This production enhancement was accompanied by an intensified agricultural and chemical input consumption and increased cultivated area and mechanization. Although yield per unit area has improved in most crops, concerns about food security for the world's rising population are still significant. Guaranteeing food security in the future will necessitate a shift in management approaches to boost output, agroecosystem sustainability, and stability and reduce the environmental harm caused by agriculture. The first step to achieving sustainability and ecological intensification in agricultural systems is to have a comprehensive agroecological analysis of agricultural systems in each region. Hence, the complete evaluation and analysis of agroecological features according to their type in each region is necessary for establishing an optimal management technique. After analyzing the present state of each region's shared ecosystems, the optimal strategy for boosting production stability must be devised and implemented.
The growing importance of energy resources in the formation and growth of economic processes, as well as the need to exploit these resources based on environmental considerations and sustainable economic development, the issue of energy saving as an important issue in all economic infrastructures, including industry. Global warming, declining crop yields, climate change and acid rain are the result of fossil fuel consumption. Hence, in recent years, there has been a growing global emphasis on renewable energy across both developed and developing nations. The primary objective is to decrease reliance on conventional energy sources, mitigate environmental pollution, and attain sustainable energy practices.
Grape (Vitis vinifera L.) is one of the most important agricultural products in the Mediterranean. Today, grapes are grown in a large area of the world's gardens. The world production of grapes was about 77.8 million tons in 2018, of which 1.3 million tons were converted into raisins. According to the latest data of FAO, Iran has an annual production of 24.45 million tons of grapes in an area of 213 thousand hectares, accounting for 3% of the world's grape production. The average yield per hectare of vineyard is reported to be 15.5 tons. The purpose of this study is to determine hot spots in terms of energy and cost in the production of Malayer grapes with the approach of material and energy flow costing (MEFCA). The primary focus of material and energy flow cost accounting is on waste (waste of energy, materials and potential human capacity).
The development process of organic cultivation in Iran is not favorable because the average growth rate of organic agriculture development from 2008 to 2019 according to FAO statistics in 2021 is equal to -0.47% and this is while foods contaminated with various substances Chemicals have an unpleasant effect on the general health of society. According to the statistics of 2021, 600 million people in the world, i.e. 1 out of every 10 people, will get sick after eating food. Since any change in the use of chemicals in agriculture should be based on the behavior of farmers, the purpose of this study is to investigate the behavioral intention to produce organic pistachio production among 5200 pistachio growers in Ardakan county, Yazd province, using the Decomposed Theory of Planned Behavior (DTPB) analysis.
In order to meet the increasing demands of the growing population, it is essential to boost rice production. This not only ensures food security but also helps maintain environmental well-being. To achieve these goals, it is crucial for crop management research to focus on increasing rice yields while minimizing water usage. In Iran, particularly in the Rudbar region, recognizing the significance of rice cultivation in agriculture is of utmost importance. To improve rice field management, various aspects such as water and soil resource management, pest and disease control, nutrition management, sales and marketing strategies, human resources and social capital management, as well as technical and agricultural improvements need to be addressed. Therefore, the aim of the present study was to identify more effective methods for managing the rice fields in Rudbar county, Iran. Materials and Methos Initially, the researchers conducted a comprehensive analysis of available national and international databases to gather background information for the study. This analysis aimed to establish an initial list of components that could contribute to improving the management of rice fields. The statistical population of the study consisted of all 850 rice farmers in Rudbar City. Using the Karjesi-Morgan table, a statistical sample size of 265 participants was estimated, which corresponded to the size of the population. Eventually, 252 questionnaires were collected after distributing them to the participants, resulting in an 88% response rate. The opinions of faculty members from Tehran University's Department of Agricultural Management and Development were sought to assess the content validity of the questionnaire which was finally confirmed. To assess the reliability or internal consistency of the questionnaire, Cronbach's alpha coefficient was calculated for each of its components. All coefficients were found to be above 0.7, indicating good reliability of the study tool. The data obtained from the questionnaires was subjected to statistical analysis using the LISREL 8.8 software. A confirmatory factor analysis model was applied to examine the data. The reliability of the indicators loaded on each structure was evaluated using the t statistic. Indicators with values exceeding the critical limit of 1.96 were considered to have the required precision for measuring the relevant structure. Additionally, significant factor loadings were determined by extracting values greater than 0.5 from the factor loadings. It is important to note that Cronbach's alpha (with values higher than 0.7) was utilized to assess the reliability of the constructs.
A Multi-Objective Optimization to Determine The Optimal Patterns of Sustainab...J. Agricultural Machinery
Introduction
The development of mechanization and machine technology can have positive and negative effects on the economic, social, and environmental conditions of a region. Conflicts in these areas complicate the selection and optimization of sustainable mechanization systems. One of the basic questions in the selection of a sustainable agricultural mechanization system is how and with what methodology would it be possible to propose the closest mechanization model that will overcome the simultaneous contradictions between the three pillars of sustainability; taking into account the natural and technical limitations in agricultural production. What is the appropriate approach considering the economic, environmental, and social aspects? The current research aims to provide a framework for an optimal mechanization model to achieve the goals of agricultural sustainability so that it can be implemented and applied practically. It is possible to provide a model that addresses the conflicting economic, social, and environmental aspects by quantitatively optimizing the level of mechanization.
Materials and Methods
In this study, a framework is applied whereby contradictory goals of agricultural sustainability can be achieved simultaneously. After selecting the indices and data collection, by combining Shannon entropy and TOPSIS, the similarity index was obtained for each objective. The similarity indices and values of the Benefit-Cost Ratio calculated for each system were considered as coefficients of three objective (economic, social, and environmental) functions in multi-objective optimization. The multi-objective optimization model was applied to achieve sustainable mechanization patterns and was solved using the NSGA-II algorithm. For framework validation, paddy production mechanization systems in the Ramhormoz region located in southwestern Iran were analyzed with constraints: land, water, and machinery. The five mechanization systems of paddy production included puddled transplanted, un-puddled transplanted, water seeded, dry seeded, and, no-till.
Results and Discussion
Pareto-optimal solutions of different scenarios with water and machine constraints showed that this framework cannot only meet the sustainable goals, but also the optimal allocation of mechanization systems is identified and the effect of different scenarios under different constraints can be examined. The sustainability goals between the no-tillage and planting with puddling systems are highly contradictory. The no-tillage system has the highest score in the environmental aspect and the lowest score in the social and economic aspects. This modern system was developed in Ramhormoz three years ago and has faced technical, economic, and social challenges ever since. The cultivated area using this system was 43 hectares in 2019. Despite the speed and ease of planting with this system, and its direct environmental benefits, the possibility of fungal outbreaks is raised due to the pre
Nitrogen (N) is one of the main limiting factors in agroecosystems all around the world. However, high application rates of N fertilizers would lead to negative environmental consequences. Reduction of N fertilizers consumption decreases production costs and environmental pollution. Therefore, N efficiency to be enhanced due to the high N fertilizer cost and required measures to prevent the waste of N. Cultivation of diverse crop cultivars with higher resources absorption and utilization efficiency is one of the major approaches in sustainable agriculture that would result in the effective use of natural and chemical inputs and reduce significantly the environmental risks. Quchan City is one of the potato production poles in Khorasan Razavi province. In this region, large amounts of N fertilizers annually are consumed in the potato agroecosystem. Therefore, the potato of the present study was evaluating N uptake and utilization efficiency, and finally, N uses efficiency in the potato agroecosystem of Quchan.
One of the main challenges of modern agriculture in ensuring food security is development of strategies to deal with potential negative impacts and adapt to climate change. To address this challenge, it is crucial to investigate the effects of climatic factors on agricultural production at a spatiotemporal dimension, develop and utilize crop management decision-support tools, and support targeted agronomic research and policy. These endeavors necessitate the availability of accurate and standardized meteorological data.
Studying growth degree days and wheat phenology can significantly enhance our understanding of how wheat growth responds to climate change and aid farmers in adapting to and effectively mitigating its influence.
In recent decades, the need for increased food production has resulted in the expansion of intensified agriculture practices characterized by high consumption of inputs, thereby reducing agricultural sustainability. The agricultural sector's contribution to the world's energy consumption, ecological footprint, and greenhouse gas emissions has grown substantially. Emissions of greenhouse gases have negative ecological effects, including climate change, global warming, and diminished sustainable development. In this sector, energy analysis and greenhouse gas emissions in ecosystems are the most common methods for assessing sustainability. This study was conducted to evaluate the sustainability of canola agroecosystems by analyzing energy consumption, carbon footprint, and greenhouse gas emissions.
The excessive use of chemical fertilizers is a leading cause of environmental pollution in the agriculture sector. Therefore, optimizing fertilizer application is a crucial approach to boost production while minimizing environmental harm. On the other hand, application of chemical fertilizers along with manure can be considered as the proper management system that led to reduce the amount of chemical fertilizers and adverse effects on environment and also improve nutrition for plants. Response-surface methodology is a powerful tool to optimize production resources which decreases cost and time of the experiments by reducing number of them. Therefore, the aim of the study was optimization of chemical fertilizers of nitrogen and phosphorus along with manure application in fodder maize production.
The excessive use of chemical fertilizers is a leading cause of environmental pollution in the agriculture sector. Therefore, optimizing fertilizer application is a crucial approach to boost production while minimizing environmental harm. On the other hand, application of chemical fertilizers along with manure can be considered as the proper management system that led to reduce the amount of chemical fertilizers and adverse effects on environment and also improve nutrition for plants. Response-surface methodology is a powerful tool to optimize production resources which decreases cost and time of the experiments by reducing number of them. Therefore, the aim of the study was optimization of chemical fertilizers of nitrogen and phosphorus along with manure application in fodder maize production.
Maize (Zea mays L.) is one of the most important cereals after wheat and rice in the tropical and temperate regions of the world. Also, its mean production is 8 ton ha-1. Moreover, the total area of under cultivation is 132572 hectares in Iran. Crop simulation models can play an important role in improving agricultural production systems in many developing countries. Crop models can simulate plant growth processes and grain yield instead of conducting several years of field experiments. On the other hands, crop simulation models should be calibrated and evaluated with independent data sets under different climatic conditions. Therefore, the purpose of this research was evaluation of the APSIM model for simulation of growth, development and yield of maize hybrids in Kerman province under different amounts of nitrogen.
Introduction
Sugarcane is one of the strategic products of Khuzestan province, which is cultivated in 10 active agro-industrial sites and covers an area of about 110,000 hectares of irrigated farms in the province. Sugarcane harvesting, like most crops, is done by special sugarcane harvesters. Due to the life of machines and also the amount of heavy machine operations in each season of sugarcane harvest, the loss is inevitable. On the other hand, in Khuzestan province, due to lack of studies, there is little information in this area. Therefore, the aim of this study is to investigate the extent of losses during sugarcane harvesting operations, taking into account factors such as cultivars, age of sugarcane, and reaping speed of the Astaf 7000 model. The study will be conducted at the sugarcane agro-industrial site of Dehkhoda in 2021.
The most important problem that threatens food security of any country and the world is the lack of adequate water resources, so one of the ways to deal with this crisis is to use plants with low water requirements and high water use efficiency. Among the plants, we can name Quinoa, which is one of the plants that has been less studied and exploited in Iran. Since the planting date has the greatest impact on the physiological characteristics of the crop compared to other cropping treatments, so choosing the appropriate planting date can also create the greatest correlation between plant growth trends and climatic conditions. Undoubtedly, the use of biological fertilizers, in addition to the positive effects it has on all soil properties, is also economically, environmentally and socially fruitful and can be a suitable and desirable alternative to chemical fertilizers. Therefore, the aim of this study was to determine the response to deficit irrigation, planting date and application of different biofertilizers in quinoa.
In the pursuit of a resilient and progressive agricultural system, the incorporation of diverse fertilizers is deemed essential. This practice not only enhances product quality but also aids in cost reduction. However, over-reliance on a specific type of input can inadvertently lead to unintended repercussions. The unrestricted utilization of chemical fertilizers, for instance, can precipitate adverse outcomes such as imbalanced pH levels, the accumulation of heavy elements, soil structure deterioration, and environmental contamination. Conversely, organic fertilizers, while environmentally friendly, often release nutrients at a slower rate, potentially disrupting optimal plant growth. To attain a balanced and sustainable agricultural approach, the combined application of organic and chemical fertilizers is advocated. Moreover, harnessing the biological potential inherent in soil ecosystems, including beneficial microbial communities encompassing bacteria and fungi, emerges as a promising avenue in cultivating sustainable agriculture. Acknowledging the adverse impact of late-season heat stress on wheat production in Khuzestan and recognizing the significance of reducing chemical fertilizer usage while augmenting organic and biological fertilizers to foster ecological health, this experiment undertakes the exploration of the effects of a synergistic approach. Specifically, it delves into the combined utilization of nitrogen and compost fertilizers, complemented by the incorporation of plant growth-promoting rhizobacteria. This endeavor aims to shed light on how this combined strategy operates within the context of terminal heat stress, assessing its influence on the physiological attributes and yield of the wheat cultivar Chamran 2.
Agriculture is a cornerstone of many developing economies, providing food, income, and employment for millions of people. It is also projected to play a vital role in feeding a global population of 9.1 billion people by 2050. However, there are growing concerns about the environmental impact of agriculture, particularly in arid and semi-arid regions like Iran. Managing water and fertilizer usage in agriculture is crucial to ensuring food security and sustainability. However, conducting field experiments to assess the interaction of all factors involved is expensive and time-consuming. This research focuses on optimizing maize production in Kerman province, a region where maize is a major crop. The research is motivated by the need to improve resource management in Iran, where water and fertilizer resources are limited. The APSIM model is used to determine the best management scenario for maize production in Kerman province. APSIM is a crop growth simulation model that can be used to predict the impact of different management practices on crop yield, water use efficiency, and nutrient use efficiency. The use of APSIM in this research provides a cost-effective and time-efficient alternative to conducting extensive field experiments. The results of this research will contribute to the development of sustainable and efficient agricultural practices in Kerman province and similar regions. These regions are characterized by resource constraints, such as limited water and fertilizer availability. The research aimed to simulate the effect of management parameters (planting date and irrigation) on Crop yield and subsequently achieve the optimal management scenario.
Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta...J. Agricultural Machinery
Agricultural production involves a series of tasks including tillage, planting, and harvesting, which must be done at the right time for each region and type of product. Failing to complete these tasks on time can lead to a decrease in yield. Farmers may wrongly attribute this to factors such as infertile land, pests, diseases, and uneven rainfall distribution. However, this decrease in yield may not always be evident or tangible. To avoid such losses and unforeseen expenses, it is crucial to plan agricultural mechanization projects using the principles of project control. Agricultural projects, like industrial projects, must be carried out in the correct order and at the right time to achieve optimal results. Given the limited availability of resources for mechanization projects, it is imperative to meticulously plan activities to ensure that they are carried out on time and with maximum utilization of resources. To address these challenges, researchers have used meta-heuristic methods in project control, such as the colonial competition algorithm, which has been proven effective in solving the issue of scheduling projects with limited resources. The algorithm has been tested across various industrial activities and projects, and its performance in scheduling the Resource-Constrained Project Scheduling Problem (RCPSP) has been validated by researchers globally.
Identifying and Prioritizing the Key Factors Affecting the Efficient Maintena...J. Agricultural Machinery
Introduction: With the emergence of new automation and mechanized technologies in the production and processing of agricultural products in Iran, which aim to accelerate the food supply process, adopting appropriate management models in the field of maintenance becomes inevitable. This is crucial to maintain and enhance the operational reliability of agricultural machinery, tools, and equipment. Furthermore, proper management of various physical assets in the agricultural industry, including operation and maintenance, is one of the most important requirements. This is due to their crucial role in ensuring readiness and high availability during the seasons of planting, cultivating, and harvesting agricultural products. These needs differ from that of other continuous production processes.
Materials and Methods: To achieve an efficient model in the field of maintenance, the following steps have been investigated:
a) Reviewing and identifying the most important criteria and sub-criteria driving the maintenance management. This is based on the previous literature and the experts’ opinion.
b) Evaluating and prioritizing the main criteria and the interactions between their sub-criteria using the Best-Worst Method (BWM).
c) Providing improved solutions for maintenance management of Iranian agro-industries.
We decided to employ BWM because, compared to similar methods, it (i) provides more reliable pairwise comparisons, (ii) reduces the possible anchoring bias that may occur during the weighting process by respondents, (iii) is the most data-efficient method, and (iv) provides multiple optimal solutions which increase flexibility when accessing the best weight point. The process of weighting by BWM is summarized in five steps:
1) Determine a set of evaluation criteria identified by the experts or decision-makers.
2) Identify the most important (Best) and the least important (Worst) criteria according to the experts or decision-makers, each of which may have their own Best and Worst.
3) Determine the preference of the Best criterion over all the other criteria using a number from 1 to 9 (where 1 represents equal importance and 9 represents extremely more important).
4) Determine the preference of all the decision criteria over the Worst criterion.
5) Compute optimal weights.
Results and Discussion: According to the preliminary surveys, the most important criteria in the excellence maintenance model were identified as “organizational management”, “human-related factors”, and “organizational aspects”, respectively. The results of the BWM revealed that sub-criteria such as "top management support," "fund allocation and inventory resource management," and "appropriate maintenance strategies" had the greatest impact on maintenance management in agro-industries, with global weights of 0.108, 0.075, and 0.067, respectively. Additionally, these findings were compared to previous research conducted in the field of agricultural and production system maintenance
The increasing demand for medicinal plants in traditional medicine as well as the pharmaceutical industry has created the need for some plants to be grown commercially, but the lack of soil moisture poses a serious threat to their production. Planting method can affect the emergence and growth rate of crop and lead to decrease water consumption and increase irrigation water efficiency as yield increases. Roselle (Hibiscus sabdariffa L.) is one of the drought tolerant plants. Saving water consumption by cultivating drought tolerant plants has been proposed as a strategy to combat drought. It should be noted, however, that irrigation without proper planning can reduce the growth and production of crops. In this regard, determining time of deficit irrigation with minimum damage is an appropriate solution that achieves optimum yield while saving water consumption. The aim of this study was to investigate the effect of different irrigation regimes and planting method on some physiological traits, yield and water use efficiency of Roselle plant.
For optimal production and maintaining its stability, environmental and weather conditions must be determined from the perspective of capabilities and limitations. For this purpose, it requires reliable regional data such as planting date, ripening time, plant density, soil, and meteorological information, which are generally not available for most regions. Obtaining this information is very time-consuming and expensive in many areas and is often simply not possible. Therefore, zoning can facilitate access to this information on a large scale. In other words, if the regions that are similar in terms of climate, soil, and management conditions are identified, the time and cost needed to collect information on a wide scale will be minimal.
Rapid and Non-destructive Estimation of Apple Tree NPK Contents based on Leaf...J. Agricultural Machinery
Apple is one of the most frequently consumed fruits in the world. It is a source of minerals, fiber, various biological compounds such as vitamin C, and phenolic compounds (natural antioxidants). The amount of nutrients plays a significant role in the growth, reproduction, and performance of agricultural products and plants. Chemical inputs can be accurately managed by predicting these elements. Thus, timely and accurate monitoring and managing the status of crop nutrition is crucial for adjusting fertilization, increasing the yield, and improving the quality. This approach minimizes the application of chemical fertilizers and reduces the risk of environmental degradation. In crop plants, leaf samples are typically analyzed to diagnose nutrient deficiencies and imbalances, as well as to evaluate the effectiveness of the current nutrient management system. Therefore, the main aim of this study is to estimate the level of Nitrogen (N), Phosphorus (P), and Potassium (K) elements in the leaves of the apple tree using the non-destructive method of Visible/Near-infrared (Vis/NIR) spectroscopy at the wavelength range of 500 to 1000 nm coupled with chemometrics analysis.
There is an urgent need to increase per capita food production to compete with high population growth while maintaining environmental sustainability. Because nitrogen plays a vital role in food production for humans and livestock, nitrogen management is essential in food production. In most cropping systems, nitrogen management seems to be a major challenge due to its high mobility and natural tendency for losses from the soil-plant system to the environment. Soil organic carbon plays a key role in improving soil ecological conditions. Adding organic matter to the soil is an excellent tool for improving physical, chemical and biological conditions and is almost always desirable. Soil organic carbon stock of crop ecosystems may be increased by improving farming practices. The application of green manure, fertilizer and the return of crop straw into the soil are known as management operations to increase soil organic carbon. Fertilizers, especially nitrogen, increase crop yield, and organic carbon is returned to the soil through roots and debris, which in most cases leads to increased soil organic carbon.
Assessment of Sieve Slope, Sieve Range and Fan Suction on Cleaning Efficiency...J. Agricultural Machinery
Peanut (Arachis hypogaea L.) is an annual plant of the legume genus that is cultivated in 109 countries due to its high-quality oil and seed protein. In Iran, this crop is cultivated on an area of 3000 hectares, with an average yield of 4 tons per hectare. Threshing performance significantly affects seed loss and physical damage, including cracking and crushing of seeds during harvest. Therefore, over the last century, extensive research has been conducted on different types of threshing methods, as well as the design and development of various threshing machines.
Research on seed crops such as cereals and seeds suggest that factors such as the rotational speed of the thresher, threshing-concave distance, feeding rate, and shape of threshing teeth play a crucial role in determining the threshing efficiency and quality of the threshed seeds. Although limited research has been conducted on peanut threshing, there are currently no combine-machines available for this crop on global markets. Therefore, this study aims to investigate several working parameters of an experimental peanut thresher, including the effect of sieve angle, sieve range of movement, and suction speed on the separation unit.
More Related Content
Similar to Determining the Eco-Efficiency of Major Crops in Selected Rigions of Khuzestan Province
One of the main challenges of modern agriculture in ensuring food security is development of strategies to deal with potential negative impacts and adapt to climate change. To address this challenge, it is crucial to investigate the effects of climatic factors on agricultural production at a spatiotemporal dimension, develop and utilize crop management decision-support tools, and support targeted agronomic research and policy. These endeavors necessitate the availability of accurate and standardized meteorological data.
Studying growth degree days and wheat phenology can significantly enhance our understanding of how wheat growth responds to climate change and aid farmers in adapting to and effectively mitigating its influence.
In recent decades, the need for increased food production has resulted in the expansion of intensified agriculture practices characterized by high consumption of inputs, thereby reducing agricultural sustainability. The agricultural sector's contribution to the world's energy consumption, ecological footprint, and greenhouse gas emissions has grown substantially. Emissions of greenhouse gases have negative ecological effects, including climate change, global warming, and diminished sustainable development. In this sector, energy analysis and greenhouse gas emissions in ecosystems are the most common methods for assessing sustainability. This study was conducted to evaluate the sustainability of canola agroecosystems by analyzing energy consumption, carbon footprint, and greenhouse gas emissions.
The excessive use of chemical fertilizers is a leading cause of environmental pollution in the agriculture sector. Therefore, optimizing fertilizer application is a crucial approach to boost production while minimizing environmental harm. On the other hand, application of chemical fertilizers along with manure can be considered as the proper management system that led to reduce the amount of chemical fertilizers and adverse effects on environment and also improve nutrition for plants. Response-surface methodology is a powerful tool to optimize production resources which decreases cost and time of the experiments by reducing number of them. Therefore, the aim of the study was optimization of chemical fertilizers of nitrogen and phosphorus along with manure application in fodder maize production.
The excessive use of chemical fertilizers is a leading cause of environmental pollution in the agriculture sector. Therefore, optimizing fertilizer application is a crucial approach to boost production while minimizing environmental harm. On the other hand, application of chemical fertilizers along with manure can be considered as the proper management system that led to reduce the amount of chemical fertilizers and adverse effects on environment and also improve nutrition for plants. Response-surface methodology is a powerful tool to optimize production resources which decreases cost and time of the experiments by reducing number of them. Therefore, the aim of the study was optimization of chemical fertilizers of nitrogen and phosphorus along with manure application in fodder maize production.
Maize (Zea mays L.) is one of the most important cereals after wheat and rice in the tropical and temperate regions of the world. Also, its mean production is 8 ton ha-1. Moreover, the total area of under cultivation is 132572 hectares in Iran. Crop simulation models can play an important role in improving agricultural production systems in many developing countries. Crop models can simulate plant growth processes and grain yield instead of conducting several years of field experiments. On the other hands, crop simulation models should be calibrated and evaluated with independent data sets under different climatic conditions. Therefore, the purpose of this research was evaluation of the APSIM model for simulation of growth, development and yield of maize hybrids in Kerman province under different amounts of nitrogen.
Introduction
Sugarcane is one of the strategic products of Khuzestan province, which is cultivated in 10 active agro-industrial sites and covers an area of about 110,000 hectares of irrigated farms in the province. Sugarcane harvesting, like most crops, is done by special sugarcane harvesters. Due to the life of machines and also the amount of heavy machine operations in each season of sugarcane harvest, the loss is inevitable. On the other hand, in Khuzestan province, due to lack of studies, there is little information in this area. Therefore, the aim of this study is to investigate the extent of losses during sugarcane harvesting operations, taking into account factors such as cultivars, age of sugarcane, and reaping speed of the Astaf 7000 model. The study will be conducted at the sugarcane agro-industrial site of Dehkhoda in 2021.
The most important problem that threatens food security of any country and the world is the lack of adequate water resources, so one of the ways to deal with this crisis is to use plants with low water requirements and high water use efficiency. Among the plants, we can name Quinoa, which is one of the plants that has been less studied and exploited in Iran. Since the planting date has the greatest impact on the physiological characteristics of the crop compared to other cropping treatments, so choosing the appropriate planting date can also create the greatest correlation between plant growth trends and climatic conditions. Undoubtedly, the use of biological fertilizers, in addition to the positive effects it has on all soil properties, is also economically, environmentally and socially fruitful and can be a suitable and desirable alternative to chemical fertilizers. Therefore, the aim of this study was to determine the response to deficit irrigation, planting date and application of different biofertilizers in quinoa.
In the pursuit of a resilient and progressive agricultural system, the incorporation of diverse fertilizers is deemed essential. This practice not only enhances product quality but also aids in cost reduction. However, over-reliance on a specific type of input can inadvertently lead to unintended repercussions. The unrestricted utilization of chemical fertilizers, for instance, can precipitate adverse outcomes such as imbalanced pH levels, the accumulation of heavy elements, soil structure deterioration, and environmental contamination. Conversely, organic fertilizers, while environmentally friendly, often release nutrients at a slower rate, potentially disrupting optimal plant growth. To attain a balanced and sustainable agricultural approach, the combined application of organic and chemical fertilizers is advocated. Moreover, harnessing the biological potential inherent in soil ecosystems, including beneficial microbial communities encompassing bacteria and fungi, emerges as a promising avenue in cultivating sustainable agriculture. Acknowledging the adverse impact of late-season heat stress on wheat production in Khuzestan and recognizing the significance of reducing chemical fertilizer usage while augmenting organic and biological fertilizers to foster ecological health, this experiment undertakes the exploration of the effects of a synergistic approach. Specifically, it delves into the combined utilization of nitrogen and compost fertilizers, complemented by the incorporation of plant growth-promoting rhizobacteria. This endeavor aims to shed light on how this combined strategy operates within the context of terminal heat stress, assessing its influence on the physiological attributes and yield of the wheat cultivar Chamran 2.
Agriculture is a cornerstone of many developing economies, providing food, income, and employment for millions of people. It is also projected to play a vital role in feeding a global population of 9.1 billion people by 2050. However, there are growing concerns about the environmental impact of agriculture, particularly in arid and semi-arid regions like Iran. Managing water and fertilizer usage in agriculture is crucial to ensuring food security and sustainability. However, conducting field experiments to assess the interaction of all factors involved is expensive and time-consuming. This research focuses on optimizing maize production in Kerman province, a region where maize is a major crop. The research is motivated by the need to improve resource management in Iran, where water and fertilizer resources are limited. The APSIM model is used to determine the best management scenario for maize production in Kerman province. APSIM is a crop growth simulation model that can be used to predict the impact of different management practices on crop yield, water use efficiency, and nutrient use efficiency. The use of APSIM in this research provides a cost-effective and time-efficient alternative to conducting extensive field experiments. The results of this research will contribute to the development of sustainable and efficient agricultural practices in Kerman province and similar regions. These regions are characterized by resource constraints, such as limited water and fertilizer availability. The research aimed to simulate the effect of management parameters (planting date and irrigation) on Crop yield and subsequently achieve the optimal management scenario.
Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta...J. Agricultural Machinery
Agricultural production involves a series of tasks including tillage, planting, and harvesting, which must be done at the right time for each region and type of product. Failing to complete these tasks on time can lead to a decrease in yield. Farmers may wrongly attribute this to factors such as infertile land, pests, diseases, and uneven rainfall distribution. However, this decrease in yield may not always be evident or tangible. To avoid such losses and unforeseen expenses, it is crucial to plan agricultural mechanization projects using the principles of project control. Agricultural projects, like industrial projects, must be carried out in the correct order and at the right time to achieve optimal results. Given the limited availability of resources for mechanization projects, it is imperative to meticulously plan activities to ensure that they are carried out on time and with maximum utilization of resources. To address these challenges, researchers have used meta-heuristic methods in project control, such as the colonial competition algorithm, which has been proven effective in solving the issue of scheduling projects with limited resources. The algorithm has been tested across various industrial activities and projects, and its performance in scheduling the Resource-Constrained Project Scheduling Problem (RCPSP) has been validated by researchers globally.
Identifying and Prioritizing the Key Factors Affecting the Efficient Maintena...J. Agricultural Machinery
Introduction: With the emergence of new automation and mechanized technologies in the production and processing of agricultural products in Iran, which aim to accelerate the food supply process, adopting appropriate management models in the field of maintenance becomes inevitable. This is crucial to maintain and enhance the operational reliability of agricultural machinery, tools, and equipment. Furthermore, proper management of various physical assets in the agricultural industry, including operation and maintenance, is one of the most important requirements. This is due to their crucial role in ensuring readiness and high availability during the seasons of planting, cultivating, and harvesting agricultural products. These needs differ from that of other continuous production processes.
Materials and Methods: To achieve an efficient model in the field of maintenance, the following steps have been investigated:
a) Reviewing and identifying the most important criteria and sub-criteria driving the maintenance management. This is based on the previous literature and the experts’ opinion.
b) Evaluating and prioritizing the main criteria and the interactions between their sub-criteria using the Best-Worst Method (BWM).
c) Providing improved solutions for maintenance management of Iranian agro-industries.
We decided to employ BWM because, compared to similar methods, it (i) provides more reliable pairwise comparisons, (ii) reduces the possible anchoring bias that may occur during the weighting process by respondents, (iii) is the most data-efficient method, and (iv) provides multiple optimal solutions which increase flexibility when accessing the best weight point. The process of weighting by BWM is summarized in five steps:
1) Determine a set of evaluation criteria identified by the experts or decision-makers.
2) Identify the most important (Best) and the least important (Worst) criteria according to the experts or decision-makers, each of which may have their own Best and Worst.
3) Determine the preference of the Best criterion over all the other criteria using a number from 1 to 9 (where 1 represents equal importance and 9 represents extremely more important).
4) Determine the preference of all the decision criteria over the Worst criterion.
5) Compute optimal weights.
Results and Discussion: According to the preliminary surveys, the most important criteria in the excellence maintenance model were identified as “organizational management”, “human-related factors”, and “organizational aspects”, respectively. The results of the BWM revealed that sub-criteria such as "top management support," "fund allocation and inventory resource management," and "appropriate maintenance strategies" had the greatest impact on maintenance management in agro-industries, with global weights of 0.108, 0.075, and 0.067, respectively. Additionally, these findings were compared to previous research conducted in the field of agricultural and production system maintenance
The increasing demand for medicinal plants in traditional medicine as well as the pharmaceutical industry has created the need for some plants to be grown commercially, but the lack of soil moisture poses a serious threat to their production. Planting method can affect the emergence and growth rate of crop and lead to decrease water consumption and increase irrigation water efficiency as yield increases. Roselle (Hibiscus sabdariffa L.) is one of the drought tolerant plants. Saving water consumption by cultivating drought tolerant plants has been proposed as a strategy to combat drought. It should be noted, however, that irrigation without proper planning can reduce the growth and production of crops. In this regard, determining time of deficit irrigation with minimum damage is an appropriate solution that achieves optimum yield while saving water consumption. The aim of this study was to investigate the effect of different irrigation regimes and planting method on some physiological traits, yield and water use efficiency of Roselle plant.
For optimal production and maintaining its stability, environmental and weather conditions must be determined from the perspective of capabilities and limitations. For this purpose, it requires reliable regional data such as planting date, ripening time, plant density, soil, and meteorological information, which are generally not available for most regions. Obtaining this information is very time-consuming and expensive in many areas and is often simply not possible. Therefore, zoning can facilitate access to this information on a large scale. In other words, if the regions that are similar in terms of climate, soil, and management conditions are identified, the time and cost needed to collect information on a wide scale will be minimal.
Rapid and Non-destructive Estimation of Apple Tree NPK Contents based on Leaf...J. Agricultural Machinery
Apple is one of the most frequently consumed fruits in the world. It is a source of minerals, fiber, various biological compounds such as vitamin C, and phenolic compounds (natural antioxidants). The amount of nutrients plays a significant role in the growth, reproduction, and performance of agricultural products and plants. Chemical inputs can be accurately managed by predicting these elements. Thus, timely and accurate monitoring and managing the status of crop nutrition is crucial for adjusting fertilization, increasing the yield, and improving the quality. This approach minimizes the application of chemical fertilizers and reduces the risk of environmental degradation. In crop plants, leaf samples are typically analyzed to diagnose nutrient deficiencies and imbalances, as well as to evaluate the effectiveness of the current nutrient management system. Therefore, the main aim of this study is to estimate the level of Nitrogen (N), Phosphorus (P), and Potassium (K) elements in the leaves of the apple tree using the non-destructive method of Visible/Near-infrared (Vis/NIR) spectroscopy at the wavelength range of 500 to 1000 nm coupled with chemometrics analysis.
There is an urgent need to increase per capita food production to compete with high population growth while maintaining environmental sustainability. Because nitrogen plays a vital role in food production for humans and livestock, nitrogen management is essential in food production. In most cropping systems, nitrogen management seems to be a major challenge due to its high mobility and natural tendency for losses from the soil-plant system to the environment. Soil organic carbon plays a key role in improving soil ecological conditions. Adding organic matter to the soil is an excellent tool for improving physical, chemical and biological conditions and is almost always desirable. Soil organic carbon stock of crop ecosystems may be increased by improving farming practices. The application of green manure, fertilizer and the return of crop straw into the soil are known as management operations to increase soil organic carbon. Fertilizers, especially nitrogen, increase crop yield, and organic carbon is returned to the soil through roots and debris, which in most cases leads to increased soil organic carbon.
Assessment of Sieve Slope, Sieve Range and Fan Suction on Cleaning Efficiency...J. Agricultural Machinery
Peanut (Arachis hypogaea L.) is an annual plant of the legume genus that is cultivated in 109 countries due to its high-quality oil and seed protein. In Iran, this crop is cultivated on an area of 3000 hectares, with an average yield of 4 tons per hectare. Threshing performance significantly affects seed loss and physical damage, including cracking and crushing of seeds during harvest. Therefore, over the last century, extensive research has been conducted on different types of threshing methods, as well as the design and development of various threshing machines.
Research on seed crops such as cereals and seeds suggest that factors such as the rotational speed of the thresher, threshing-concave distance, feeding rate, and shape of threshing teeth play a crucial role in determining the threshing efficiency and quality of the threshed seeds. Although limited research has been conducted on peanut threshing, there are currently no combine-machines available for this crop on global markets. Therefore, this study aims to investigate several working parameters of an experimental peanut thresher, including the effect of sieve angle, sieve range of movement, and suction speed on the separation unit.
Similar to Determining the Eco-Efficiency of Major Crops in Selected Rigions of Khuzestan Province (16)
Assessment of Sieve Slope, Sieve Range and Fan Suction on Cleaning Efficiency...
Determining the Eco-Efficiency of Major Crops in Selected Rigions of Khuzestan Province
1. Research Article
Vol. 37, No. 3, Fall 2023, p. 271-287
Determining the Eco-Efficiency of Major Crops in Selected Rigions of
Khuzestan Province
M. Mardani Najafabadi 1*, A. Abdeshahi2
, E. Ahani3
Received: 18-09-2022
Revised: 30-01-2023
Accepted: 13-02-2023
Available Online: 13-02-2023
How to cite this article:
Mardani Najafabadi, M., Abdeshahi, A., & Ahani, E. (2023). Determining the
eco-efficiency of major crops in selected rigions of Khuzestan province.
Journal of Agricultural Economics & Development, 37(3), 271-287. (In Persian
with English abstract). https://doi.org/10.22067/jead.2023.78856.1158
Introduction
The relationship between economic development and the environment is known as one of the most important
issues facing societies. If in the context of sustainable development, economic and environmental activities are
considered together, the environment and economic development are two complementary factors and, as a result,
it will lead to ecological balance. In this case, economic activities will not disturb this balance. Presently, the
imperative of safeguarding the environment and attaining sustainable development has ascended to a prominent
position on the agendas of diverse societies, Iran included. This commitment is underscored by the execution of
comprehensive economic, social, and cultural initiatives aimed at fostering long-term ecological resilience and
balanced societal progress. Therefore, to preserve the environment and meet the goals of sustainable development,
as well as to guide and rationally manage plans and projects, especially in the agricultural sector, serious measures
should be taken. Therefore, this study was carried out to evaluate the operational, environmental, and eco-
efficiency of the major agricultural products of the irrigation and drainage networks of Gotvand.
The irrigation and drainage network of Gotvand is located in the southwest of Iran in Khuzestan province. This
network is designed to irrigate lands located in three regions of Gotvand, Aghili, and Dimcheh, enclosed between
two rivers, Karun and Lor. According to the official statistics of government organizations, the consumption of
fertilizers and chemical poisons in the lands covered by this network is 3.6 times the average limit in Iran. The
excess irrigation water in this network is returned to the rivers by the built-in drains and causes water pollution
downstream of the network. Therefore, considering that environmental protection is one of the most important
aspects of sustainable development, it is very important to investigate the effects of the use of pesticides and
chemical fertilizers in agriculture and to introduce solutions to improve the efficiency of the environment in the
study area.
Materials and Methods
Eco-efficiency includes operational and environmental impacts, which are presented as the ratio of the
weighted sum of outputs to the weighted sum of inputs (operational inputs + environmental inputs). However,
since agricultural activities are carried out in uncertain environmental conditions, there is uncertainty regarding
inputs and outputs. The uncertainty in some of the effective input and output parameters in the ranking of networks,
and as a result, the inaccuracy of the model calculation results, and the need to pay attention to the use of
uncertainty models, make it more obvious. Therefore, in the present study, to include the conditions of uncertainty
1 and 2- Associate Professors of Agricultural Economics, Department of Agricultural Economics, Faculty of Agricultural
Engineering and Rural Development, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani,
Iran
(*- Corresponding Author Email: m.mardani@asnrukh.ac.ir)
3- Lecturer in the Department of Accounting and Economics at Bozorgmehr Qaenat and Torbat Heydarieh University
https://doi.org/10.22067/jead.2023.78856.1158
Homepage: https://jead.um.ac.ir
2. 272
کشاورزی توسعه و اقتصاد نشریه
جلد ،
37
شماره ،
3
،
پاییز
1402
and risk, the robust data envelopment analysis (RDEA) model was used, which is one of the most powerful and
useful models in conditions of uncertainty. The required data were collected by completing a questionnaire of the
Gotvand, Aghili, and Dimche regions using a simple random sampling method in 2019.
Results and Discussion
The alfalfa producers in the Gotvand region assigned the highest environmental and Eco-efficiency by
obtaining points in the range of 81 to 89 percent and 90 to 96 percent, respectively. The rice crop in the Aghili
region had the highest types of operational efficiency based on different levels of deviation probability in the range
of 77-87%, environmental efficiency in the range of 80-90%, and environmental-economic efficiency in the range
of 87-95%. Dimanche sugarcane region has the highest average of efficiency types for different levels of deviation
probability by obtaining points in the range of 78 to 90, 80 to 89, and 87 to 95 respectively for operational,
environmental, and Eco-efficiency. Comparing the results of technical efficiency with environmental efficiency
shows the lack of attention and skill of farmers in the correct and optimal use of production inputs. Therefore, it is
necessary to hold educational and promotional classes to empower farmers to improve production methods and
optimal consumption of inputs to improve farmers' income and increase their profits. Given that a substantial
portion of energy consumption within the agricultural sector is attributed to fuels and diesel, optimizing energy
usage and promoting the adoption of newer, less polluting energy sources emerge as crucial imperatives.
Enhancing environmental efficiency in this context involves a strategic focus on reducing reliance on traditional,
environmentally taxing energy forms in favor of more sustainable alternatives.
Conclusion
The average operating efficiency in all different probability levels for the studied products in Goutvand , Aghili,
and Dimche areas, except for beans in the Gatund area, was estimated to be lower than the average environmental
efficiency. This shows the lack of ability and skill of farmers to produce a certain product with the lowest amount
of input, while the farmers of these areas pay great attention and care to environmental issues.
Keywords: Khuzestan, Operational efficiency, Robust data envelopment analysis, Undesirable output,
Undesirable input