جستجوی مقالات مرتبط با کلیدواژه « TOPSIS » در نشریات گروه « کشاورزی »

Agricultural activities are always associated with risks for farmers due to dealing with living organisms. In these activities, all kinds of natural, social, and economic risks go hand in hand and provide vulnerable situations for producers. The result of this fragility and vulnerability causes instability in incomes. This research aims to determine the identification and prioritization of the parameters of agricultural contracts using the AHP hierarchical analysis process combination model and similarity to the ideal option of TOPSIS in Razavi Khorasan province through a researcher-made questionnaire based on the studies and research done, from 13 experts and experts. In the field of agriculture, a contract was made that was selected based on their expertise. In this research, 2 criteria and 14 options were considered; And TOPSIS and AHP methods were used to weight the criteria, identify and prioritize agricultural contract parameters. The results showed that the criterion weight for promoting farmers' participation in contract agriculture is 0.692 and the criterion weight for helping food security and increasing production in contract agriculture is 0.308; Also, based on the weights obtained for the criteria and based on the TOPSIS prioritization method, among the parameters of agricultural contracts, the highest rank was related to holding training classes and technical consultation, and the lowest rank was related to the type of contract (bilateral-multilateral). Based on the results obtained from this research, it is suggested that the agricultural jihad organization or the private sector should consider parameters such as the holding of training classes and technical advice, the existence of trading options, the type of contract (written-verbal), the presence or absence of the requirement to determine the degree. pay attention to the quality, duration of the contract, type of contract (direct-intermediate), supply of inputs; In this case, it is expected that the participation of farmers in contract farming will increase.

Lack of attention to environmental, economic, structural and service sustainability destroys agricultural production. Therefore, for stability in the agricultural sector, it is necessary to pay attention to sustainable production criteria.In this paper, the composite indices of environmental, economic, and service-structural productivity sustainability of barley and maize in the provinces of Iran during 2001-2019 were calculated using Integration AHP and TOPSIS approaches, and then the indices of each province were classified separately with ISDM method. In the AHP prioritization results have more preference environmental, economic, and service-structural criteria, respectively. In most provinces, during the time period Average sustainability barley and maize are more sustainable in economic, environmental and service-structural criteria respectively. The results periodic averages and ISDM classification of barley and grain corn criteria in during the time period, indicated that the downward trend in barley and maize sustainability criteria and rising trend for economic criteria in the some provinces due to the improvement of labor productivity. Also in most provinces the sustainability of environmental, economic and service-structural criteria was roughly divided into three periods: 2001-2008, 2009-2014, and 2015-2019. In most of the provinces, the results ISDM classification three sustainability criteria were mostly in the moderate class and in the moderate unsustainable subclass is more than the moderate sustainable subclass. The most effective factor in environmental sustainability is water resources, in economic sustainability is income and profit and in service-structural sustainability is packaging and transportation. It is suggested that environmental sustainability with management in the consumption of water resources and inputs and increasing water productivity; Economic stability by organizing product prices and production costs; And service-structural sustainability should be improved by organizing packaging and transportation, and agricultural subsidies should be applied considering sustainability.

Due to the diversity and multiplicity of atmospheric general circulation models (GCM), it is not possible to use all of them in the estimation of climatic parameters. Undoubtedly, using the right model in climate simulations can improve the accuracy and certainty of the modeling. In this study, ACCESS-ESM1-5, GFDL-CM4, IITM-ESM, INM-CM4-8, IPSL-CM6A-LR, MPI-ESM1-2 and MRI-ESM2-0 from the CMIP6 was evaluated in Nekarood river basin by applying multi-criteria decision-making (MCDM) approaches including compromise programming (CP), cooperative game theory (CGT), the technique for order of preference by similarity to ideal solution (TOPSIS) and weighted average technique (WAT). Then the final ranks were determined based on the group decision making method (GDM). To check the quality of the estimated rainfall of GCMs in accordance with the observed rainfall, correlation coefficient (CC), normalized root mean square deviation (NRMSD), average absolute relative deviation (AARD), absolute normalized mean bias deviation (ANMBD) and skill score (SS) were used. The weight effect of the evaluation indices in each of the MCDMs was determined by the entropy technique. The results indicate that the CC has the highest effect in the ranking process of GCMs with a weighted importance of about 45%. Finally, the GFDL-CM4 with a net strength of 18 in the group decision-making method was recognized as the most appropriate GCM, simulating precipitation for this watershed.

The main purpose of this study is to identify and rank the most important technological projects in the agricultural sector of Hamadan province in the five-year horizon (2022-2026) using the combined SWOT approach, hierarchical analysis process and TOPSIS.

The research method is applied in terms of purpose and survey-descriptive in terms of data collection. The statistical population of the study includes 30 experts and academics and industry experts who due to the limited population, all members were used as a statistical sample. For this purpose, first the opportunities and challenges of the cities of Hamadan province in the agricultural sector are mentioned; Then, using the opinions of experts, the points (strengths, weaknesses, opportunities and threats) of the agricultural sector of the cities of the province were identified; Then, using the hierarchical analysis process approach, key indicators in evaluating high-potential projects were evaluated and the weights of the indicators were calculated.

The output of this approach showed that the indicators in terms of importance were: 1- feasibility, 2- technological nature of the project, 3- attractiveness of the project and 4- completion of the value chain. Finally, the projects were evaluated and ranked using TOPSIS technique and expert opinions.

The final result of the evaluation of this technique indicates that the "High Tech Greenhouse" project is in the first rank and the "Gene Bank" project is in the last rank in terms of importance in the development of the province's agricultural sector. At the end, practical suggestions were...

The over-drilling of deep wells and the excessive exploitation of groundwater sources cause the groundwater level to decrease daily, resulting in more energy to power pumps. Artificial recharging is the injection of water into a permeable formation to recharge the groundwater aquifer and reuse it with a different regime and quality and by creating additional facilities or changes in the region's natural conditions (Fazl Avali, 1998). Placing artificial recharge systems are one of the basic principles of creating these systems. The selection of sites based on scientific and natural points plays a critical role in the success and efficiency of the development of these systems to achieve the relevant goals. This process must be undertaken with considerable care. Identifying artificial recharge areas and substrates can be accomplished using various methods and parameters. No matter the method used, the results from different studies must be analyzed jointly, and then the most appropriate area for the study must be determined. Due to the presence of various characteristics in location, continuous changes of influential factors, and the need to examine the evaluated criteria, the use of GIS due to special features and capabilities, can be beneficial to this endeavor. The multi-criteria analysis method has been mentioned as a valuable model for integrating information layers in artificial recharge. Numerous studies have been conducted to locate recharging sites for artificial recharge.
Ramalingam and Santhakumar (2002), using GIS and remote sensing techniques, investigated suitable artificial feeding areas in a state in India which considered geomorphological, geological, soil, slope, land use, runoff intensity, and groundwater depth. As part of the research conducted by Hekmatpour et al. (2007), areas of the Varamin plain that can be artificial recharge were identified through classification and layer combining in a GIS environment and using a decision support system to make decisions.

Rural ecotourism based on scientific principles and criteria is one of the essential approaches in the process of achieving sustainable development and preventing the waste of time and capital.The research method is descriptive-analytical and its purpose is to prioritize the villages targeted for rural ecotourism in the forest area of Babolakrood watershed in Mazandaran province. In the study, Delphi method to identify rural ecotourism criteria, Entropy technique to determine their weight and multi-criteria decision models such as TOPSIS, ElECTER and VIKOR to prioritize villages in the forest area of Babolakrood watershed in terms of ecotourism potential rural in 2019. The findings of the study identified and customized four environmental, economic, social and technical criteria and 44 indicators to evaluate rural ecotourism in case stuady. The results of prioritization of 17 villages in the forest region of Babolakrood watershed showed that Khalil Kola, Kharkak, Ari, Kalikola and Firozjah villages respectively are five villages with high potential for rural ecotourism, with the highest final average. Also, the results showed that the application of different multi-criteria models leads to different ranking of options, so in order to reach a consensus and a more comprehensive ranking of options, the triple integration method has been used. The results showed that VIKOR model in comparison with other models provides more suitable results for prioritizing the villages of the region in terms of rural ecotourism potential. Therefore, we suggested that the target ecotourism villages considered in the management programs of rural ecotourism projects in Mazandaran province,Savadkuh city.

To determine the ideal genotypes in terms of the quantity and quality of fruit, 32 genotypes of greengage were evaluated in a randomized complete block design with three replications at the research station of Horticultural Research Institute in Karaj during two cropping seasons 2018 and 2019. To evaluate the genotypes and to determine the ideal genotype, 26 traits related to fruit, fruiting and yield were used. Combined variance analysis of data showed that the genotype source of variation was significant for all studied traits at the level of 0.01 probability level. ASIIG index showed that the genotypes CodR, Cod100, Malayer, and Gojeh Siah are the best and most desirable genotypes with an index higher than 55%, respectively. Also, Cod98, Cod99, Gojeh Baghi Qasr Dasht, Gojeh Qomi, and Gojeh Holandi with ASIIG index higher than 49% were ranked next. The grouping of genotypes using ASIIG method diagrams, the genotypes CodR, Cod100, Cod98, Cod99, Gojeh Malayer, Gojeh Siah, and Gojeh Baghi Qasr Dasht were located in the ideal quartile. Using cluster analysis, the genotypes CodR, Cod100, black, and Malayer as well as completely ideal hypothetical genotype (+) were placed in a group at a distance line of 0.018. According to the results of this study, seven genotypes CodR, Cod100, Cod98, Cod99, Gojeh Malayer, Gojeh Siah, and Gojeh Baghi Qasr Dasht were selected as the ideal genotypes in terms of fruit quantity and quality. Finally, due to the high benefits of the ASIIG index, it was suggested that this index can be used in other horticultural products to determine the ideal genotype.

Wetland have a great impact on the micro climate and maintain the hydrological and biological balance of each region. Therefore, this study was conducted to evaluate the environmental hazards of the Gomishan wetland based on the TOPSIS multi-criteria decision making method. In this study, the focus is on the environmental conditions of Gomishan wetland and all the stressor and factors that cause their ecological balance of the wetland are or investigated. In the first stage, description, system analysis and identification of regional risks based on DPSTR method, in the second stage, selection of three indicators (service of affect, probability of occurrence and sensitivity of the accepting environment) and scoring of risks and in the last step is to rank these based on the TOPSIS method. Results of DPSIR method, 15 risk factors where identified for Gomishan wetland. The result of ranking the risks threatening international wetlands using TOPSIS method. Indicated that the transfer of agricultural effluent to Atrak and Gorgan rood rivers and the transfer, transfer of fish and shrimp ponds effluent, effluent of Gomishan treatment plant and surrounding village and occurrence of droughts according to the amount of Claire in the first to fourth priorities, respectively. Also, based on hazard leveling, in Gomishan wetland 20% of hazards are in the unbearable category 6.6% of his hazards are in the significant category 13.4% of the hazards are in the significant category, 40% of the hazards are in the tolerable category and 20% are hazards in the category were partially located. Based on the results of this study, it is suggested that the managers of a single. Management in this wetland to meet the needs of local communities without the legal negative effect on physical, chemical and hydrological conditionals of the wetland in addition to meeting the water needs of the wetland.

The purpose of this study is to evaluate the process of agricultural sustainable development in Yazd province. The weighting of sustainability indicators has been done using the entropy and TOPSIS method was used for evaluation of sustainability. The results of the study show that in the period between 2001-2018, in the environmental dimension, the consumption of pesticide and conservation of natural resources indicators, in the social dimension, transportation, telephone communications and Natural growth rate of population, and in the economic dimension, The efficiency of red meat production and non-agricultural income have played an important role in the sustainable development of agriculture in Yazd province. The results show a reduction in the growth of sustainable development in economic and social dimensions, especially in recent years. But, in the environmental dimension, we see an obvious development of the agricultural sector. According to the results, it is suggested that more attention is given to the development of infrastructure facilities such as appropriate and asphalted communication roads, telephone communications, and access to health and electricity services in rural areas.

The agricultural sector relies heavily on energy consumption to meet the growing need for food. One of the challenges of sustainable agriculture is that the majority of farmers still use fossil energy. Carbon dioxide emissions in Iran have caused $ 26.27 billion in damage to the country, of which $ 1.57 billion is the share of the agricultural sector. The final energy consumption per capita in Iran's agricultural sector is 3.3 times the global average. Therefore, energy use in the country is very important. This study prioritized renewable energies in the agricultural sector of the north of Iran (Golestan, Mazandaran, and Guilan) using the Entropy weighting technique and the TOPSIS method. The information required for this study was collected using a Delphi method from 39 experts and five types of renewable energy and five criteria. The results showed that the Prioritization of energies are solar energy, wind energy, biomass energy, hydropower, and geothermal energy and Environmental, political, social, technical and economic criteria rank first to fifth in importance, respectively.

The appearance of rural settlements has been based on natural factors such as soil and water. Natural factors have a decisive effect on location, dispersion, range of influence, physical development, morphology, and the like, and these factors sometimes act as a positive factor and sometimes as a negative factor. The purpose of this study is the status of rural settlements in Firoozabad city in relation to natural factors. The statistical population includes rural settlements of Firoozabad city. This city has two parts and 5 rural districts. The method studied in this research is the fuzzy TOPSIS method, which is one of the best decision-making methods based on fuzzy variables. The information used includes altitude, slope, direction, climate, vegetation, soil, erosion, land use, which have been analyzed in GIS environment. Findings show that the central part with the most villages has the weakest performance compared to natural factors and Ahmadabad rural district is in the first place with 95% The second part of the city is related to a part of Meymand that has performed better in terms of natural factors so that most of the villages in the city are in a better condition in this part. In general, rural settlements in the north and northwest of Firoozabad are in a better situation. While the situation of rural settlements in the southern and central parts of the city is unsuitable. Be in an awkward position. Therefore, it demands that the potential and capacity of rural settlements in the city be well studied and in proportion to the existing talents in the region, to introduce, plan and implement alternative livelihood programs for the agro-livestock economy that is currently and has destroyed this situation.

Soil erosion has been one of the most important problems of watersheds in the world and is considered one of the main obstacles to achieving sustainable development in agriculture and natural resources. Identifying and prioritizing regions sensitive to soil erosion is essential for water and soil conservation and natural resource management in watersheds. The present research was performed in 2021 year to prioritize the soil erosion susceptibility in 12 sub-watersheds of the Roudzard watershed in Khouzestan province using morphometric analysis and multiple criteria decision-making (MCDM) methods. In this regard, 11 morphometric parameters including shape parameters such as compactness constant (Cc), circularity ratio (Rc), form factor (Rf), elongation ratio (Re), linear parameters such as drainage density (Dd), stream frequency (Fs), drainage texture (Dt), bifurcation ratio (Rb), Basin length (L), Length of overland flow (Lg), and topographic parameter including Ruggedness number (Rn) were extracted and their relative weights were calculated using Analytic Hierarchy Process (AHP). The prioritization sub-watershed to soil erosion was performed using TOPSIS, VIKOR, and SAW methods, and the results were combined using rank mean, Copeland, and Borda methods. The final prioritization was compared with the amount of specific erosion in the MPSIAC model by determining Spearman's correlation coefficient. The result of the evaluation of morphometric parameters by using the AHP model showed that drainage density (0.161), drainage texture (0.158), and stream frequency (0.146) had the greatest effect on the erodability of the sub-watersheds. In contrast, the form factor (0.049), Elongation Ratio (0.036), and shape factor (0.026) had the least effects on erodability of the study area. In this research, the Spearman correlation coefficient between the final result of prioritizing the sub-watershed and the MPSIAC model was obtained as 0.8 in p-value<0.01. The results of prioritization of the sub-watersheds in terms of their sensitivity to soil erosion showed that sub-watersheds 11, 12, and 10 with an area of 191.83 km2 are categorized as very sensitive to soil erosion due to high value of linear parameters, low value of shape parameters, sensitive geology formation, and poor vegetation cover and located in rank 1 to 3, respectively. According to the results sub-watersheds 11, 12, and 10 have the highest amount of specific erosion equal to 16.03, 12.48, and 11.6 tons per hectare per year, respectively. Therefore, these sub-watersheds are a priority for watershed management operations. The results of the present study showed that MCDM methods and morphometric analysis are suitable tools for identifying areas sensitive to soil erosion and using the combined methods of the results and it is possible to take advantage of each of the different multi-criteria decision-making methods.

In order to determine the desirability based on the qualitative and quantitative traits of the fruit, 11 cultivars of apple spore type along with control cultivar Golden Delicious were used. These cultivars were evaluated in Kamalshahr Horticultural Research Station of Karaj during two crop years (2011–2012) in a randomized complete blocks design with three replications and fruit related traits including fruit weight, fruit length, fruit diameter, fruit firmness, acidity percentage, TSS, fruit yield, fruit–set % and number of fruits per tree were recorded during two years. Combined analysis of variance showed that the effect of year was significant only for fruit diameter and fruit weight at the probability level of 5 % (P≤0.05). The effect of cultivar on all traits, except fruit–set %, was significant at the probability level of 1% (P≤0.01). The highest fruit yield was observed in Yellowspur cultivar with a value of 23.39 kg per tree. Using specific scores as the weight of traits, adjusted selection index of ideal genotype (ASIIG) was calculated and it was observed that Yellowspur cultivar with an index value of 78.16 % similar to the ideal genotype has the highest desirability among the cultivars and Yellowspur along with Golden Smoothie and Deliciousspur cultivars were more desirable than Golden Delicious cultivar. The graphs obtained from the adjusted selection index of ideal genotype with appropriate grouping of experimental cultivars identified only Yellow spur cultivar as a completely desirable cultivar.

Due to the scarcity of water resources and increasing human demand, the optimal operation of reservoirs has become one of the most important issues in the world. In this regard, the correct and optimal operation of dams is one of the most efficient tools for water resources management. Due to the large number of decision variables, relationships, and constraints in the problems, reservoir management, and optimization have many complexities. Therefore, many researchers in their research have paid special attention to this issue. In this research, a new algorithm namely Atom Search Optimization (ASO), which is derived from the concepts of molecular dynamics, will be developed for multi-reservoir water resource systems. On the other hand, failure to implement appropriate policies to protect the soil has led to an important phenomenon of erosion in the lands above the reservoirs, one of the negative consequences of which will be sedimentation. The transfer and accumulation of suspended sediments, in turn, will reduce the useful volume of the reservoir, which is neglected in most reservoir optimization issues. However, in this study, the optimal operation of a single reservoir dam is investigated by the Atom Search Optimization algorithm in terms of monthly sediment yield.

First, the performance of the atom search algorithm on mathematical benchmark functions will be investigated. Then, by performing sensitivity analysis to logically determine the effective coefficients of the algorithm and selecting the appropriate number of particles and the number of iterations of each operation, the performance of the algorithm on conventional systems of four and ten reservoirs is analyzed. In order to supply water downstream of Dez Dam, considering the important issue of monthly sediment flow in the reservoir, the atom search algorithm and four other common algorithms are used. The results are modified by selecting the objective function value criteria, RMSE, MAE, NSE, and PBIAS values and prioritized using TOPSIS and Modified-TOPSIS ranking techniques.

The performance of the atom search algorithm on conventional systems of four and ten reservoirs is analyzed, which shows the results of 95.33% with an absolute optimal solution of four reservoirs, ie 308.29, and 89.67% with an absolute answer of ten reservoirs, 1194.44. Also, by comparing the atom search algorithm and four common Salp Swarm Algorithm (SSA), Sine Cosine Algorithm (SCA), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) in a single reservoir system under deposition, the absolute superiority of the ASO search algorithm was demonstrated.

The use of an atom search algorithm in solving optimization problems in the field of water resources management is recommended, especially in terms of the effectiveness of soil protection and sedimentation of reservoirs.

Additive and Negative impacts of climate change in recent years, such as consecutive drought, simultaneously with increasing urban population and rate urbanization, has caused  most countries in the world, including Iran,  faced a shortage of accessible water resources; But in response to these shortcomings, managers and decision-makers at different levels, without considering the interests of all stakeholders and their participation in related decisions, by emphasizing supply-oriented solutions and have refrained implementation of integrated water resources management. This study aims to identify and evaluate the challenges of governance and integrated management of urban water resources in a descriptive-analytical method. For this purpose, after determining and extracting the desired indicators using the opinions of academic experts and managers, and decision-makers related to the subject,  Shannon entropy weighting methods to weigh these challenges and the combined TOPSIS ranking method to determine and display the situation the cities of Bushehr province have been used in relation to each other. According to the results; The challenges of "secession and numerous decision-making organizations in water resources management" and "emphasis on water supplying policies" with weights of 0.089 and 0.086, respectively, were identified as the most important challenges.  The results of the study of selected indicators of water resources governance and analysis of the quantitative research model have shown that the cities of Bushehr, Genaveh, and Deylam at the level of "absolutely desirable governance", Borazjan city at the level of "optimal governance", Ahram, Khormoj, and Assaluyeh at the level of "governance" On average, the cities of Kangan and Jam are at the level of "unfavorable rule" and the city of Deir is at the level of "completely undesirable rule".

Flood is one of the most common and dangerous natural disasters occurring worldwide (Samanta et al., 2018). Iran is ranked sixth in the world in terms of flooding (Khosroshahi and Saghafian, 2003) due to the disturbance of the hydrological balance of the country's watersheds, of which Abolabbas River Basin is no exception. In effect, due to the hydrological imbalance of the watershed, the river runoff cannot be transferred well (Tehrany et al., 2013). Given that each part of the basin has a certain potential in the production of runoffs and floods, once water overflows into the surrounding lands floods occur. It is thus necessary to prepare flood sensitivity maps and identify susceptible areas for flood prevention and management (Bout et al., 2018). This study was thus intended to prepare hazard maps for different parts of the watershed, and to prioritize the effective parameters in the occurrence of floods in the study area.

This study considered 11 important indicators including altitude, runoff curve number, slope, slope direction, rainfall, vegetation, drainage density, distance from waterway, land use, stream power index and topographic wetness index to determine the flood potential of Abolabbas River Basin with an area of 281.23 square kilometers. For the purpose of this study, the layers were scaled and the individual pixels were weighted and then prioritized using the TOPSIS technique (Rasooli et al., 2018).