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2017, Ekonomika poljoprivrede
Two types of economic effectiveness and two types of economic efficiency, as well as three types of indicators as nutritional quality criteria were used in this paper for ranking certain winter lettuce growing technologies. Four certain types of growing technologies of winter lettuce in greenhouses were ranked by two multi-attribute decision making methods. Results of ranking for both methods, SAW and TOPSIS are shown. Alternatives were ranked by three different scenarios with different weight coefficients. The type of growing technology with combination of mulching + agro textile is the best ranked one according both methods and all scenarios.The SAW method showed more sensitivity on weight coefficients changes than TOPSIS.
Organizacija, 2015
Purpose: Organic and integrated production of vegetables are the two most common production systems in Slovenia. The study analyzed two production systems with different cultures as alternatives with purpose to find the most appropriate variants.Design/Methodology/Approach: The study based on the development and integration of developed specific technological- economic simulation models for the production of vegetables (salad, growing peppers, salad cucumbers, pickling cucumbers, round and cherry tomato) in greenhouse and multi-criteria decision analysis. The methodology of the study based on the DEX methodology and the analytical hierarchy process (AHP) of organic (ECO) and integrated production (IP) in greenhouse.Results: The evaluation results show that both cultivation methods of commercially attractive vegetables in greenhouse are variable. In the case of integrated production, the assessment of multi-criteria decision analysis EC and DEXi showed that salad (Donertie F1) proved...
2014
Multicriteria evaluation is a transparent way of systematically collecting, processing and analyzing objective information. This method integrates multiple criteria in order to combine all the relevant concerns in the decision problem as a gauge for comparison. Agricultural crop suitability is one of the interdisciplinary approaches that involve integration of criteria from different branches of science. Assessment for vegetable development in Plovdiv, Bulgaria is influenced by many parameters namely, soil and land parameters, climatic attributes, terrain and physiographic, social characteristics, cultural aspects, cultivation customs, infrastructure and human development, services available, market situations, live-hood of population, standard of living, ecology and many more. All of them can logically be classified into following categories: physical characteristics, environmental parameters and socioeconomic condition. Matching all these conditions and different requirements to assess the suitability of horticulture is carried out by Analytical Hierarchy Process (AHP), developed by Saaty (1977). By calculating important indicators for sustainable vegetable cultivation, using GIS applications and digital information in the form of assessment map are the core of process.
HAL (Le Centre pour la Communication Scientifique Directe), 2009
Ekonomika poljoprivrede
Integrated fruit production (IFP) is an economical, high-quality fruit production which prioritizes ecologically acceptable means of production, which minimize side-effects aiming to increase environment conservation and human health. Following the market demands and increasing production standards, integrated production imposes itself, which is to enable lucrativeness, market competition and ecological acceptability of agricultural products. Introducing and implementing multi-criteria model of decision-making is based on DEXi method (multi-attribute analysis). This method makes selection of the most adequate fruit sort for initiating fruit production. This model of decision-making is based on opinions of experts from the field of integrated production. The main criterion in evaluating IFP according to DEXi and expert system are: economic, technological, ecological and socio-political. The result of multi-criteria expert system DEXi have shown that the plum fruit sort yields the best results according to integrated production concept and can be recommended as the first planting alternative. The second alternative recommends apple while the third one recommends pear.
Tarım Bilimleri Dergisi, 2023
Natural, societal, and economic hazards have a negative impact on agricultural production. In the field of agriculture, productivity studies are common, but election studies are rare. The goal of the study was to figure out which product to plant based on the region's characteristics by anticipating risk factors in advance. The most appropriate crop kind to grow based on the risk variables faced in agricultural production was explored in this study. The nine risk factors in the Çukurova region, as well as three alternative crops, were determined for this study. Input costs, changes in climatic conditions, changes in yield loss due to pests, agricultural tools and machinery failure, theft, fire, crop damage due to excessive water, crop loss due to drought and lack of technical information were chosen as criteria. Citrus, cereal, and legume were chosen as alternative crops. First, using the Analytical Hierarchy Process method, the weights of the score were determined. As a consequence of the weighing, the input costs criterion had the greatest weight value of 0.29. The criterion with the lowest score was a lack of technical information (0.01). Then, using the steps of the Elimination and Choice Translating Reality English method, which is one of the Multi Criteria Decision Making methods, the best relevant alternative ranking was determined. The comparison was also done using the Technique for Order Preference by Similarity to Ideal Solutions method. The cereal alternative was the best in both methodologies as a result of their application. In the first method, legumes and citrus were chosen, however in the second method, the opposite outcome was obtained.
2018
This study evaluates the input efficiency of greenhouse tomato and pepper farms in Kosovo. Using data collected from farm surveys, we conduct an input-oriented data envelopment analysis (DEA) to empirically assess input efficiency. Secondly, linear regression analysis is used to investigate which farm variables predict greenhouse tomato and pepper technical efficiency (TE). The DEA results indicated that among the seven regions in Kosovo, Prizren emerged as the most efficient greenhouse tomato producing region with a mean efficiency of 0.83 (on a scale of 0 to 1). Prishtina followed with a mean efficiency of 0.80. In the production of greenhouse peppers, Prishtina was the most efficient region with a mean efficiency of 0.99. Ferizaj followed with a mean efficiency of 0.93. Conclusions about farm characteristics that explain differences in efficiency were sensitive to model specification. Nevertheless, depending on the structural and operational characteristics of the greenhouse toma...
2014
PazeK, K., C. Rozman, D. majKoviC, j. TuRK, m. KljajiC, a. SKRaba, a. boReC, P. SimoniC and j. PRiSenK, 2014. assessment of multifunctional agriculture: application of selected multi-criteria methods in case of Slovenia. Bulg. J. Agric. Sci., 20: 1008-1017 The aim of this paper is to employ the use of multi-criteria analysis in quantification of the multifunctional agriculture (mFa). For this purpose, two methodological approaches are used and compared: analytical-Hierarchical Process (aHP) for group decision making and multi-attribute utility theory (mauT), under the assumption that mFa in Slovenia exist, while its level vary through regions/farms. The results showed that organic farms yielded with the highest final priority assessment with respect to the concept of multi-functionality.
Agronomy, 2020
Sustainability of agricultural practices depends on economic, environmental, and social conditions. The Rajasthan state of India has arid climatic conditions where kharif crops are commonly grown. In this work, the four major criteria are considered such as the farm area, crop yield per unit area, the cost prices, and the market sales price. Merged analytic hierarchy process (AHP) and entropy techniques have been employed to give reasonable weight coefficients for the objective and subjective weights to each criterion. Multiple attribute-based decision-making models (MADM) have been developed using three proven techniques, namely the Exprom2, the technique for order of preference by similarity to ideal solution (TOPSIS), and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The crop Pennisetum glaucum emerged as the most productive kharif crop in the arid climatic conditions of Rajasthan, India under the given criteria. The sensitivity analysis of the three methods identifies the most significant criteria and validates that Pennisetum glaucum is the first ranked crop despite the interchange of the weights. The methodology used in this study may be applied across the globe to select appropriate crops for maximizing the profit, optimizing the natural resources, and promoting sustainable agricultural practices. This study may be used to enhance the agricultural gross domestic product (GDP) to make the agriculturalists self-sufficient and to help the state policymakers in making effective regional policies.
Polish Journal of Environmental Studies, 2016
The effects of climate change, drought predictions, urbanization, and industrialization efforts has increased by too much the importance of agri-environmental policies in developing countries. The policies of providing food security have gained importance with the effects of the above-mentioned topics. To a certain extent countries need the use of natural resources to ensure self-sufficiency and competitiveness in foreign trade in agriculture. However, environmental issues are an inevitable phenomenon. Increasing environmental problems can be resolved with the concept of efficiency in Economics. Self-sufficiency in agriculture, inputs, and agricultural production value from unit value are also considered in the concept of efficiency. Evaluating environmental risk factors requires linguistic terms to be used rather than exact numerical assignments. The fuzzy set theory provides a useful tool for converting linguistic terms into numerical evaluation [1-2].
1998
A methodology is presented for aiding agricultural decisions using multiattribute value models with interval numbers. The evaluation procedures are based on values and weights elicitation. The main features are (1) introducing interval numbers to deal with imprecision and uncertainty, (2) utilizing swing weights to properly treat the relationship between weights and the ranges of scales, and (3) recognizing values and alternatives structuring as important steps. To demonstrate usefulness of the methodology, labor-saving vegetable production systems under development, in which a self-propelled harvester is introduced and thinning is eliminated, are compared with the conventional system at farm level by the criteria of pro®tability and farmwork characteristics.
Ecological Indicators, 2014
The cultivation of plants for use as energy resources is an agricultural and industrial sector with potentially synergistic benefits related to protecting the environment and generating income. Against the background of increasing land-use changes and new agricultural approaches to the production of energy crops, we present a method for identifying future-oriented crop rotations that supports both the economic and environmental components of decision-making strategies with respect to agriculture-related policy decisions (regional mission statements). The conflicting aspects of these objectives can be addressed with the analytic hierarchy process (AHP), a multi-attribute decision-making method that was integrated here. Three models are used to generate simulations of the defined objectives over a planning period of 30 years under the current climate scenario and provide input data for the multi-attribute assessment of several crop rotations. Based on the entire evaluation process, dimensionless global priority vectors are used to indicate how well the crop rotations meet the requirements of the defined mission statement. The method is tested in a municipality in NE Germany.
Journal of Agricultural Science and Technology, 2020
The present study aimed to identify strategies for the application of pro-environmental technologies for greenhouse vegetable production in Tehran Province, Iran. It is an applied research type whose main instrument is a questionnaire. The population of the study consisted of 109 experts in Tehran Province, of which 86 experts were selected by stratified random sampling method (based on Krejcie and Morgan’s table). The questionnaire was revised with the help of the experts who had significant experience in crop protection to ensure the validity of the instrument. A pilot study was conducted on 22 experts in Alborz Province to determine the reliability of the questionnaire. Cronbach’s Alpha scores were acceptable for different sections of the questionnaire (0.710.82), so, the instrument was reliable. The research methodology is descriptive, and the SWOT analysis was used. First, the internal environment was analyzed to prepare a list of strengths and weaknesses in applying pro-enviro...
The International Journal of Life Cycle Assessment, 2020
Purpose: Rooftop greenhouses (RTGs) are agricultural systems that can improve the food supply chain by producing vegetables in unused urban spaces. However, to date, environmental assessments of RTGs have only focused on specific crops, without considering the impacts resulting from seasonality, combinations of crops, and non-operational time. We analyze vegetable production in an RTG over 4 years to determine the crop combinations that minimize yearly environmental impacts while diversifying food supply. Methods: The system under study consists of an integrated RTG (i-RTG) with a hydroponic system in Barcelona, in the Mediterranean region. By using life cycle assessment (LCA), we evaluate the environmental performance of 25 different crop cycles and seven species cultivated during the period 2015-2018. Three functional units are used: 1 kg of edible fresh production, 1 unit of economic value (€) in the wholesale market and 1 kcal of nutritional value. The system boundaries consider two subsystems: infrastructure (greenhouse structure, rainwater harvesting system and auxiliary equipment) and operation (fertilizers and their emissions into water and substrate). In addition, we perform an eco-efficiency analysis, considering the carbon footprint of the crop cycles and their value at the wholesale market during their harvesting periods. Results and discussion: Spring tomato cycles exert the lowest impacts in all categories, considering all three functional units, due to the high yields obtained. In contrast, spinach and arugula have the highest impacts. Regarding relative impact, the greenhouse structure presented a large impact, while fertilizer production had notable relative contributions in tomato cycles. Moreover, nitrogen and phosphorus emissions from fertigation are the main cause of freshwater and marine eutrophication. By combining the most eco-efficient cycles, we can see that growing two consecutive tomato cycles is the best alternative with the functional unit of yield (0.49 kg CO2 eq./kg), whereas a long spring tomato cycle combined with bean and lettuce cycles in the autumn/winter is the best scenario when using market (0.70 kg CO2 eq./€) and nutritional value (3.18•10-3 kg CO2/ kcal). Conclusions: This study shows that increasing the diversity of the system leads to better environmental performance of greenhouse urban agriculture if suitable crops are selected for the autumn/winter season. The functional unit involving the economic value and the eco-efficiency analysis are useful to demonstrate the capability of the growing system to produce added-value vegetables under harsher conditions, while categorizing and classifying the crops to select the most suitable combinations based on economic and environmental parameters.
Frontiers in Plant Science, 2023
Introduction: Due to the shortage of land and water resource, optimization of systems for production in commercial greenhouses is essential for sustainable vegetable supply. The performance of lettuce productivity and the economic benefit in greenhouses using a soil-based system (SBS) and a hydroponic production system (HPS) were compared in this study. Methods: Experiments were conducted in two identical greenhouses over two growth cycles (G1 and G2). Three treatments of irrigation volumes (S1, S2, and S3) were evaluated for SBS while three treatments of nutrient solution concentration (H1, H2, and H3) were evaluated for HPS; the optimal levels from each system were then compared. Results and discussion: HPS was more sensitive to the effects of environmental temperature than SBS because of higher soil buffer capacity. Compared with SBS, higher yield (more than 134%) and higher water productivity (more than 50%) were observed in HPS. We detected significant increases in ascorbic acid by 28.31% and 16.67% and in soluble sugar by 57.84% and 32.23% during G1 and G2, respectively, compared with SBS. However, nitrate accumulated in HPS-grown lettuce. When the nutrient solution was replaced with fresh water 3 days before harvest, the excess nitrate content of harvested lettuce in HPS was removed. The initial investment and total operating cost in HPS were 21.76 times and 47.09% higher than those in SBS, respectively. Consideration of agronomic, quality, and economic indicators showed an overall optimal performance of the H2 treatment. These findings indicated that, in spite of its higher initial investment and requirement of advanced technology and management, HPS was more profitable than SBS for commercial lettuce production.
International Journal of Supply Chain Management, 2019
World agriculture still faces challenges quite fundamental, it is about the quality issues and the increasing of competitiveness through productivity and the eficiency. This research focused on the criteria of best tomato types and how to apply the Simple Additive weighting method (SAW) into a Decision Support System (DSS) for election best quality tomato that can assist farmers in determining the best type of tomato for renewable energy and supply chain strategy, based on the criteria that have been chosen, such as: tomato size, tomato color, tomato shape and tomato disease. By using the application of Simple Additive weighting method into Decision Support Systems value, it can be concluded that V 5 is the best quality tomato and has a predicate value of 83.75 with the fragile values, as follows: 50-69 = Enough, 70-82 = Good, 83-100 = Best.
Anais da Academia Brasileira de Ciências, 2009
One of the major problems in the Brazilian agriculture is related to the production loss in the field, which, due to many factors, is not being considered. This article has the objective to develop a methodology to identify a quality index which integrates some crop quality variables which are able to indicate how the crop is developing in terms of loss in the field. The results have showed that the strategy of multi-criterion analysis and Fuzzy logic proved to be important tools for the assessment and preparation of a quality index for corn production. The index proposed performed well in representing the quality of agricultural operations when compared with reality.
Applied Sciences
Since the supply of basic needs, especially food, is among the strategic priorities of each country and conventional food production methods no longer suffice, food production methods are now transforming into industrial approaches. Industrialization, however, requires higher energy usage. Greater energy demand brings about the issue of energy sustainability. In particular, the depletion of fossil fuels results in serious challenges in food production processes. On the other hand, the utilization of energy carriers is accompanied by environmental contamination. In this regard, evaluating energy consumption and environmental pollution in the production systems can be a proper approach to finding the energy consumption and pollution centers for presenting applicable solutions to decrease pollution. In this study, energy indices of ER, EP, SE, and NEG were assessed to evaluate the energy consumption of lettuce production. The results showed values of 0.4, 17.28 kg/MJ, 0.06 MJ/kg, and 2...
Field Crops Research, 2012
In the present study, an attempt has been made to use Data Envelopment Analysis (DEA) for assessing the technical efficiency and return-to-scale for greenhouse cucumber production in Iran. For this purpose, the data from greenhouses in Esfahan province, during one period of plant cultivation in one year including spring plants were randomly collected. The results indicated that total input energy, total output energy and energy ratio were 436,824 MJ ha -1 , 128,532 MJ ha -1 and 0.29, respectively. DEA can be used to optimize the performance of any cucumber greenhouse. Based on input-oriented CRS and VRS models of DEA, the average values of pure technical efficiency, technical efficiency and scale efficiency were found to be 0.95, 0.83 and 0.88, respectively. Also the results revealed that, on average, about 30.27% of the total input energy could be saved without reducing the cucumber yield from its present level by adopting the recommendations based on the present study.
European Journal of Sustainable Development, 2013
The use of mathematical models in financial and economic analysis of the impact of factors on agricultural productivity growth is a priority in the contemporary developments of the agricultural sector. The main purpose of this study is the selection of the best structure for the use of production factors in the cultivation of four different varieties of tomato (Merit, Fine, Samos and Laura) in the greenhouses using a multivariate mathematical model. Hence, our research is focused in identifying and analyzing the most important factors affecting the level of greenhouse tomato culture productivity in 16 municipalities of Lushnja district. Based on the level of importance, the correlation analysis listed those factors: manure (0.369), fertilizer (0.149), water (0.189), and liquid crystalline fertilizer (0.096). Moreover, focusing on the actual levels of production factors used by each municipality, we estimated the maximum yield (113q/are), and the most likely production that could be achieved (100q/are), based on a rational use of factors. On the basis of the obtained results, the maximum unused reserves were calculated for each municipality in the district of Lushnja. The obtained results constitute a strong basis for budgeting and forecasting activities not only for the tomato crop but also for other agricultural cultures cultivated in other municipalities in the district of Lushnja and in Albania.
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