scholarly journals Kharif Crops Selection for Sustainable Farming Practices in the Rajasthan-India Using Multiple Attribute-Based Decision-Making

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 536
Author(s):  
Vineet Tirth ◽  
Ram Karan Singh ◽  
Saiful Islam ◽  
Irfan Anjum Badruddin ◽  
Rini Asnida Binti Abdullah ◽  
...  
Keyword(s):  
Decision Making ◽  
Pennisetum Glaucum ◽  
Agricultural Practices ◽  
Climatic Conditions ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Objective And Subjective Weights ◽  
Sustainable Agricultural Practices ◽  
The Cost ◽  
The Given

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.

scholarly journals ECONOMIC EFFICIENCY OF TABLE GRAPEVINE VARIETIES’ CULTIVATION

Russian vine ◽  
2020 ◽  
Vol 14 ◽  
pp. 85-89
Author(s):  
N.A Tikhomirova ◽  
◽  
M.R. Beibulatov ◽  
N.A. Urdenko ◽  
R.A. Buival ◽  
...  
Keyword(s):  
Economic Efficiency ◽  
Agricultural Practices ◽  
Climatic Conditions ◽  
Cost Of Care ◽  
Important Condition ◽  
High Productivity ◽  
Care Technology ◽  
The Cost ◽  
Grape Varieties ◽  
Intensive Development

The economic efficiency of the cultivation of grapes as a branch of agriculture depends on the adaptation of grape varieties to the soil and climatic conditions of the place of growth. When developing new agricultural practices and technological solutions for the cultivation of grapes, it is necessary to assess the econom-ic efficiency of the proposed innovative ap-proaches. The cultivation of such grape varie-ties is becoming important and relevant, which, with high productivity and the use of differen-tiated care technology, require minimal costs when servicing the bushes and harvesting. In-creasing labor productivity in the viticulture industry is the most important condition for the intensive development of production. One of these conditions today is the formation of a bush according to the technology element, the shape of a bush AZOS-1, which allows to re-duce the cost of care and harvesting of grapes. The conducted research on the technology of cultivation of table grape varieties in connec-tion with the use of a new form of bush made it possible to economically substantiate the economic efficiency of growing grapes.

scholarly journals A decision-making methodology integrated in product design for additive manufacturing process selection

2020 ◽  
Vol 26 (5) ◽  
pp. 895-909
Author(s):  
Wei Liu ◽  
Zicheng Zhu ◽  
Songhe Ye
Keyword(s):  
Decision Making ◽  
Additive Manufacturing ◽  
Product Design ◽  
Production Costs ◽  
Process Selection ◽  
Analytic Hierarchy ◽  
Content Type ◽  
The Given ◽  
Hierarchy Process ◽  
Am Processes

Purpose The decision-making for additive manufacturing (AM) process selection is typically applied in the end of the product design stages based upon an already finished design. However, due to unique characteristics of AM processes, the part needs to be designed for the specific AM process. This requires potentially feasible AM techniques to be identified in early design stages. This paper aims to develop such a decision-making methodology that can seamlessly be integrated in the product design stages to facilitate AM process selection and assist product/part design. Design/methodology/approach The decision-making methodology consists of four elements, namely, initial screening, technical evaluation and selection of feasible AM processes, re-evaluation of the feasible process and production machine selection. Prior to the design phase, the methodology determines whether AM production is suitable based on the given design requirements. As the design progresses, a more accurate process selection in terms of technical and economic viability is performed using the analytic hierarchy process technique. Features that would cause potential manufacturability issues and increased production costs will be identified and modified. Finally, a production machine that is best suited for the finished product design is identified. Findings The methodology was found to be able to facilitate the design process by enabling designers to identify appropriate AM technique and production machine, which was demonstrated in the case study. Originality/value This study addresses the gap between the isolated product design and process selection stages by developing the decision-making methodology that can be integrated in product design stages.

scholarly journals Nitrogen Utilization in a Cereal-Legume Rotation Managed with Sustainable Agricultural Practices

Agronomy ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 113 ◽  
Author(s):  
Mariangela Diacono ◽  
Paola Baldivieso-Freitas ◽  
Francisco Sans Serra
Keyword(s):  
Green Manure ◽  
Crop Production ◽  
Farmyard Manure ◽  
Agricultural Practices ◽  
Residual Effect ◽  
N Fertilization ◽  
Climatic Conditions ◽  
N Losses ◽  
Sustainable Agricultural Practices ◽  
N Use

Optimization of the nitrogen (N) inputs and minimization of nutrient losses strongly affect yields in crop rotations. The aim of this research was to evaluate the effect of agricultural practices on yield and N use in a 4-year cereal-legume rotation in organic farming and to identify the best combination of these practices. The following treatments were compared: conventional plough (P) vs. reduced chisel (RC) tillage; composted farmyard manure (F) vs. unfertilized control (NF); and green manure (GM) vs. no green manure (NoM). No significant differences were found for N use efficiency between P and RC in each crop. The results suggested that legumes in the tested rotation do not need supplemental N fertilization, particularly if combining GM and F. The use of composted farmyard manure should be considered in a long-term fertilization plan for cereals, to allow a higher efficiency in N use. The residual effect of fertilization over time, along with the site-specific pedo-climatic conditions, should also be considered. In both tested tillage approaches, soil N surplus was the highest in plots combining GM and F (i.e., more than 680 kg N ha−1 in combination with RC vs. about 140 kg N ha−1 for RC without fertilization), with a risk of N losses by leaching. The N deficit in NoM–NF both combined with P and RC would indicate that these treatment combinations are not sustainable for the utilized crops in the field experiment. Therefore, the combination of the tested practices should be carefully assessed to sustain soil fertility and crop production.

scholarly journals Improving the operational efficiency of tractors by ensuring their ability to perform work

2020 ◽  
Vol 17 ◽  
pp. 00111
Author(s):  
Sergej Yahin ◽  
Fanil Gabdrafikov ◽  
Farit Khaliullin ◽  
Rail Khusainov ◽  
Insaf Naficov
Keyword(s):  
Working Conditions ◽  
Climatic Conditions ◽  
Industrial Complex ◽  
Technical Equipment ◽  
Actual Volume ◽  
Design Documents ◽  
The Cost ◽  
Market Relations ◽  
The Given

Development of agriculture in conditions of market relations is accompanied by aggravation of the problem of efficiency of use of technics. In this connection, the task of scientists is to increase the actual volume of work performed by tractor units, reducing the cost per unit of production. The high cost of tractors, the lack of personnel, the reduction of technical equipment of farms and the increase in the volume of products produced in the agro-industrial complex, natural and climatic conditions impose special requirements on technical service to maintain tractors in working conditions. The working state of tractors is the state at which values of parameters, which characterize ability to execute the given functions, correspond to normative-reference and design documents. During the operation of tractors in agriculture under the influence of various factors, wear of their parts and knots. The indicator determining the value of wear is the residual resource of aggregates and knots of technics. In the article the questions of influence of residual resources of basic aggregates and systems of tractor on frequency of failures of various groups of complexity are considered. Experimental research on determination of dependencies of residual resources of tractor units and frequency of failures of different groups of complexity, on the basis of which the rules of replacement of the unit whose resource are exhausted, is carried out, i.e. is replaced with a full of the resource (new) or on the aggregate after overhaul.

A novel model for risk management of outsourced construction projects using decision-making methods: a case study

2020 ◽  
Vol 10 (2) ◽  
pp. 97-123 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mehdi Abbasi ◽  
Xiaopeng Deng ◽  
Muhammad Ikram ◽  
Salman Yeganeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Project Managers ◽  
Analytic Hierarchy ◽  
Suitable Alternative ◽  
Content Type ◽  
Proposed Model ◽  
The Cost ◽  
First Time

PurposeSelecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.Design/methodology/approachTo employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.FindingsAccording to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.Originality/valueTo the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

scholarly journals Prediction Approach of Critical Node Based on Multiple Attribute Decision Making for Opportunistic Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qifan Chen ◽  
Linlan Liu ◽  
Zhiyong Yang ◽  
Kai Guo
Keyword(s):  
Decision Making ◽  
Network Performance ◽  
Multiple Attribute Decision Making ◽  
Critical Node ◽  
Cut Vertex ◽  
Critical Nodes ◽  
Multiple Attribute ◽  
Network Maintenance ◽  
The Cost ◽  
Prediction Approach

Predicting critical nodes of Opportunistic Sensor Network (OSN) can help us not only to improve network performance but also to decrease the cost in network maintenance. However, existing ways of predicting critical nodes in static network are not suitable for OSN. In this paper, the conceptions of critical nodes, region contribution, and cut-vertex in multiregion OSN are defined. We propose an approach to predict critical node for OSN, which is based on multiple attribute decision making (MADM). It takes RC to present the dependence of regions on Ferry nodes. TOPSIS algorithm is employed to find out Ferry node with maximum comprehensive contribution, which is a critical node. The experimental results show that, in different scenarios, this approach can predict the critical nodes of OSN better.

scholarly journals Some Novel Interactive Hybrid Weighted Aggregation Operators with Pythagorean Fuzzy Numbers and Their Applications to Decision Making

Mathematics ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 1150 ◽  
Author(s):  
Na Li ◽  
Harish Garg ◽  
Lei Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Fuzzy Numbers ◽  
Intuitionistic Fuzzy Set ◽  
Weighted Average ◽  
Aggregation Operators ◽  
Pythagorean Fuzzy Set ◽  
Multiple Attribute ◽  
The Given ◽  
Pythagorean Fuzzy Numbers

A Pythagorean fuzzy set (PFS) is one of the extensions of the intuitionistic fuzzy set which accommodate more uncertainties to depict the fuzzy information and hence its applications are more extensive. In the modern decision-making process, aggregation operators are regarded as a useful tool for assessing the given alternatives and whose target is to integrate all the given individual evaluation values into a collective one. Motivated by these primary characteristics, the aim of the present work is to explore a group of interactive hybrid weighted aggregation operators for assembling Pythagorean fuzzy sets to deal with the decision information. The proposed aggregation operators include interactive the hybrid weighted average, interactive hybrid weighted geometric and its generalized versions. The major advantages of the proposed operators to address the decision-making problems are (i) to consider the interaction among membership and non-membership grades of the Pythagorean fuzzy numbers, (ii) it has the property of idempotency and simple computation process, and (iii) it possess an adjust parameter value and can reflect the preference of decision-makers during the decision process. Furthermore, we introduce an innovative multiple attribute decision making (MADM) process under the PFS environment based on suggested operators and illustrate with numerous numerical cases to verify it. The comparative analysis as well as advantages of the proposed framework confirms the supremacies of the method.

scholarly journals Optimal selection of agricultural crops for sustainable farming in nutrient-rich Wadi areas of Saudi Arabia using MCDM

2021 ◽  
Vol 9 (4B) ◽  
Author(s):  
Vineet Tirth ◽  
◽  
Ram Karan Singh ◽  
Saiful Islam ◽  
Ali Algahtani ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Lower Cost ◽  
Water Environment ◽  
Agricultural Practices ◽  
Climatic Conditions ◽  
Kingdom Of Saudi Arabia ◽  
Crop Selection ◽  
Sustainable Agricultural Practices ◽  
Decision Making Model ◽  
Selection Of

In the Kingdom of Saudi Arabia (KSA), Wheat, Barley, fruits, vegetables, and fodders are the most common agricultural products. Agricultural sustainability depends on socioeconomic and climatic conditions. Proper crop selection is vital to maximize productivity, yielding more revenue to the farmer at a lower cost. To rank the crop alternatives based on the available natural resources and cost, a multicriterion based decision-making model (MCDM) may be applied to identify the best suitable crop, encouraging sustainable agricultural practices. To make the agricultural activities sustainable, most of the critical criteria are taken into account. Four criteria linked to sustainability are included in this study. The research focuses on developing a model for sustainable agricultural practices in KSA employing MCDM. Three MCDM techniques were employed to evaluate the most suitable crop,and the results are compared and validated. The results from all three methods gave consistent results. Fruits emerged as the most productive crop, followed by Wheat, vegetables, fodders, and Barley. Such methodology shall be further extended across the other regions and over various crops for sustainable agricultural practices. The study is expected to help the Ministry of Water, Environment, and Agriculture, KSA, draft a suitable agricultural policy.

scholarly journals The analytic hierarchy process as a support for decision making

Spatium ◽  
2007 ◽  
pp. 44-59 ◽  
Author(s):  
Milanka Filipovic
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Site Selection ◽  
Tourism Industry ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Basic Characteristics ◽  
The Given ◽  
Hierarchy Process ◽  
Pair Wise Comparison

The first part of this text deals with a convention site selection as one of the most lucrative areas in the tourism industry. The second part gives a further description of a method for decision making - the analytic hierarchy process. The basic characteristics: hierarchy constructions and pair wise comparison on the given level of the hierarchy are allured. The third part offers an example of application. This example is solved using the Super - Decision software, which is developed as a computer support for the analytic hierarchy process. This indicates that the AHP approach is a useful tool to help support a decision of convention site selection. .

Navigating the (yet) unseen waters of Cerrado, the Brazilian savanna

2021 ◽  
Vol 2 (81) ◽  
Author(s):  
Claudia Coleoni ◽  
Tomas Carvalho
Keyword(s):  
Agricultural Practices ◽  
Vital Role ◽  
South American ◽  
Water Abundance ◽  
Groundwater Availability ◽  
Cerrado Biome ◽  
Deforestation Rates ◽  
Sustainable Agricultural Practices ◽  
The Cost ◽  
Surface And Groundwater

Home to the headwaters and the largest portion of South American watersheds and the upper catchments of large Amazon tributaries, the Cerrado biome plays a vital role in Brazil’s surface and groundwater availability. Agribusiness expands at the cost of Cerrado’s biodiversity, leading to ever-increasing deforestation rates that favour a ‘water scarcity’ narrative despite the biome’s ‘water abundance’ potential. Water-related conservation efforts, such as the Water Producer Programme, are underway to align ecosystem services maintenance with sustainable agricultural practices in the Cerrado biome.

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