scholarly journals Principles and Practices of Plant-based Irrigation Management

2021 ◽  
pp. 1-11
Author(s):  
Alexander Levin ◽  
Lloyd Nackley
Keyword(s):  
Decision Support ◽  
Recent Literature ◽  
Water Movement ◽  
Irrigation Management ◽  
Data Interpretation ◽  
Advantages And Disadvantages ◽  
Clear Winner ◽  
Provide Decision Support ◽  
Data Output ◽  
Prohibitive Cost

Many consider tools for plant-based irrigation management methods to be the most precise way to manage irrigation in either a research or a commercial settings. Although many types of tools are available, they all measure some aspect of water movement along the soil–plant–atmosphere continuum. This article presents some of the more commonly used tools and the methods involved to properly employ them. In addition, recent literature is reviewed to provide context to the methods themselves and also to highlight each one’s specific advantages and disadvantages. Ultimately, there is no clear winner or “best” tool as all have disadvantages, either due to prohibitive cost, the amount of data output, the difficulty of data interpretation, lack of signal resolution, or lack of dynamic ability to provide decision support. Therefore, we conclude that the user should carefully weigh these varied advantages and disadvantages in the context of their production goals before deciding on a given tool for irrigation management.

Review of classification studies for machine learning in the development of intelligent management decision support systems

2020 ◽  
Vol 89 ◽  
pp. 20-29
Author(s):  
Sh. K. Kadiev ◽  
◽  
R. Sh. Khabibulin ◽  
P. P. Godlevskiy ◽  
V. L. Semikov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Mathematical Models ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Decision ◽  
Classification Methods ◽  
Advantages And Disadvantages ◽  
Intelligent Management ◽  
Management Decision Support

Introduction. An overview of research in the field of classification as a method of machine learning is given. Articles containing mathematical models and algorithms for classification were selected. The use of classification in intelligent management decision support systems in various subject areas is also relevant. Goal and objectives. The purpose of the study is to analyze papers on the classification as a machine learning method. To achieve the objective, it is necessary to solve the following tasks: 1) to identify the most used classification methods in machine learning; 2) to highlight the advantages and disadvantages of each of the selected methods; 3) to analyze the possibility of using classification methods in intelligent systems to support management decisions to solve issues of forecasting, prevention and elimination of emergencies. Methods. To obtain the results, general scientific and special methods of scientific knowledge were used - analysis, synthesis, generalization, as well as the classification method. Results and discussion thereof. According to the results of the analysis, studies with a mathematical formulation and the availability of software developments were identified. The issues of classification in the implementation of machine learning in the development of intelligent decision support systems are considered. Conclusion. The analysis revealed that enough algorithms were used to perform the classification while sorting the acquired knowledge within the subject area. The implementation of an accurate classification is one of the fundamental problems in the development of management decision support systems, including for fire and emergency prevention and response. Timely and effective decision by officials of operational shifts for the disaster management is also relevant. Key words: decision support, analysis, classification, machine learning, algorithm, mathematical models.

scholarly journals Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia

2007 ◽  
Vol 11 (6) ◽  
pp. 1811-1823 ◽  
Author(s):  
P. Cau ◽  
C. Paniconi
Keyword(s):  
Decision Support ◽  
Land Management ◽  
Quantitative Methods ◽  
Management Practices ◽  
Water Movement ◽  
Agricultural Practices ◽  
Treated Wastewater ◽  
Hydrological Simulation ◽  
Support Tool ◽  
The Impact

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield over a long period of time for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation. Our analysis suggests that of the four options, the most widely acceptable consists in the transfer of intensive agricultural practices to the larger watershed, which is less vulnerable, in tandem with wastewater reuse, which rates highly due to water scarcity in this region of the Mediterranean. More generally, the work demonstrates how both qualitative and quantitative methods and information can assist decision making in complex settings.

Seasonal precipitation pattern analysis for decision support of agricultural irrigation management in Louisiana, USA

2021 ◽  
Vol 254 ◽  
pp. 106970
Author(s):  
Clement D. Sohoulande Djebou ◽  
Stacia Conger ◽  
Ariel A. Szogi ◽  
Kenneth C. Stone ◽  
Jerry H. Martin
Keyword(s):  
Decision Support ◽  
Pattern Analysis ◽  
Irrigation Management ◽  
Precipitation Pattern ◽  
Agricultural Irrigation ◽  
Seasonal Precipitation

scholarly journals Construction and calibration of TDR probes for volumetric water content estimation in a Distroferric Red Latosol

2013 ◽  
Vol 33 (5) ◽  
pp. 919-928 ◽  
Author(s):  
Rosimaldo Soncela ◽  
Silvio C. Sampaio ◽  
Marcio A. Vilas Boas ◽  
Maria H. F. Tavares ◽  
Adriana Smanhotto
Keyword(s):  
Water Content ◽  
Irrigation Management ◽  
Time Domain Reflectometry ◽  
Volumetric Water Content ◽  
Coefficient Of Determination ◽  
Calibration Model ◽  
Advantages And Disadvantages ◽  
Disturbed Soil ◽  
Red Latosol ◽  
The Time Domain

The determination of volumetric water content of soils is an important factor in irrigation management. Among the indirect methods for estimating, the time-domain reflectometry (TDR) technique has received a significant attention. Like any other technique, it has advantages and disadvantages, but its greatest disadvantage is the need of calibration and high cost of acquisition. The main goal of this study was to establish a calibration model for the TDR equipment, Trase System Model 6050X1, to estimate the volumetric water content in a Distroferric Red Latosol. The calibration was carried out in a laboratory with disturbed soil samples under study, packed in PVC columns of a volume of 0.0078m³. The TDR probes were handcrafted with three rods and 0.20m long. They were vertically installed in soil columns, with a total of five probes per column and sixteen columns. The weightings were carried out in a digital scale, while daily readings of dielectric constant were obtained in TDR equipment. The linear model θν = 0.0103 Ka + 0.1900 to estimate the studied volumetric water content showed an excellent coefficient of determination (0.93), enabling the use of probes in indirect estimation of soil moisture.

scholarly journals Profile Matching Untuk Sistem Pendukung Keputusan Pemilihan Vendor Maintenance Server dan Jaringan

2018 ◽  
Vol 5 (2) ◽  
pp. 262-269
Author(s):  
Khoirun Nisa ◽  
Entin Sutinah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Advantages And Disadvantages ◽  
Profile Matching ◽  
Secondary Factor ◽  
Network Maintenance ◽  
Voting System ◽  
Maintenance Work ◽  
The Right

AbstrakMemilih pemasok  yang  tepat atau vendor diantara pemasok  yang  ada  adalah  isu  penting  bagi  top manajemen. Proses penentuan vendor pada PT. Gema Graha Sarana dilakukan secara manual, yang diawali dengan pengumpulan informasi melalui presentasi dari setiap calon vendor. Setelah itu dilakukan rapat pimpinan untuk membahas tentang kelebihan dan kekurangan masing-masing vendor. Rapat pimpinan perusahaan menggunakan sistem votting sehingga cara tersebut dinilai masih kurang objektif dan tidak menutup kemungkinan penilaian dilakukan secara subjektif. Saat ini sudah berkembang pesat teknologi dalam segala bidang salah satunya teknologi dalam penentuan pengambilan keputusan, oleh karena itu untuk membantu dalam pemecahan masalah tersebut perlu dilakukan sebuah  pendekatan dengan menggunakan sebuah metode sistem pendukung keputusan salah satu nya dengan menggunakan metode Profile Matching dengan tahapan yaitu menentukan kriteria, perhitungan pemetaan gap, melakukan pembobotan, perhitungan core factor dan secondary factor, perhitungan nilai total, dan perhitungan untuk menentukan perangkingan.Tujuan dari penelitian ini adalah menentukan vendor  yang cocok agar mampu menyediakan layanan jasa maintenance server dan jaringan sesuai kebutuhan. Sehingga dari tahapan-tahapan tersebut diperoleh sebuah hasil keputusan untuk memilih vendor yang akan diajak kerja sama dalam melakukan pekerjaan maintenance server dan jaringan dengan memilih PT. Nusa Network Prakarsa. Kata Kunci: Pemilihan Vendor, Profile Matching, Sistem Pendukung Keputusan. AbstractSelecting the right supplier or vendor among existing suppliers is an important issue for top management. The process of determining vendor at PT. GemaGrahaSarana, Tbk is done manually, which begins with the collection of information through the presentation of each potential vendor. After that conducted a leadership meeting to discuss the advantages and disadvantages of each vendor. Company leadership meeting using the voting system so that way is considered still less objective and did not rule out the assessment is done subjectively. Nowadays, technology has been developed in all fields, one of them is technology in determining decision making, therefore to assist in solving the problem it is necessary to do an approach by using a method of decision support system of one of them by using method matching profile with stages that is Determining Criteria , Gap Mapping Calculation, Weighting, Calculation of Core Factor and Secondary Factor, Total Value Period, and Calculation for Determining Ranking. The purpose of this research is to determine the suitable vendors to be able to provide server and network maintenance services as needed. So from these stages obtained a decision to select a vendor who will be invited to work together in doing maintenance work server and network by choosing PT. Nusa Network Prakarsa. Keywords: Vendor Selection, Profile Matching, Decision Support System.

scholarly journals Decision Support System for Indonesian Government Fast E-Tendering Based on Vendor Classification

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Edi Wahyu Widodo ◽  
Tri Harsono ◽  
Ali Ridho Barakbah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Good Governance ◽  
Current System ◽  
Electronic System ◽  
Electronic Procurement ◽  
Advantages And Disadvantages ◽  
The Government ◽  
Procurement System

In the last few years in the world of auctions, electronic auctions become a hot topic for discussion, especially in Indonesia. In Indonesia, the auction has been using online electronic system since 2007 with all its advantages and disadvantages. This system is one of a fairly successful program in a good governance. Until now, there are 620 government agencies in Indonesia have been using this electronic procurement systems[19]. The Government can perform a budget efficiency nearly 5% of the total budget by using today's electronic procurement system. The current system is good enough, but there are still some deficiencies found. Some of solutions to cover the deficiency offered in this paper. Starting from the classification of goods or services according to the UNSPSC, applying business classification with ISIC Indonesia in 2009, recording the activity of vendors for consideration decision, and implementing a decision support system using AHP to facilitate the auction committee to determine the winner. All of above matters are intended to improve the effectiveness and efficiency of the current system.

Development of an Information System for the Assessment of different Bioenergy Concepts Regarding Sustainable Development

2010 ◽  
pp. 318-336 ◽  
Author(s):  
Meike Schmehl ◽  
Swantje Eigner-Thiel ◽  
Jens Ibendorf ◽  
Martina Hesse ◽  
Jutta Geldermann
Keyword(s):  
Information System ◽  
Rural Areas ◽  
Sustainability Assessment ◽  
Service Providers ◽  
Supply Side ◽  
Demand And Supply ◽  
Advantages And Disadvantages ◽  
Provide Decision Support ◽  
Biogas Plants ◽  
Indicator Systems

From an environmental, economic, social, and technical perspective, this chapter focuses on a sustainability assessment of concepts for the energetic use of biomass in order to provide decision support for different options of biomass use. In rural areas, bioenergy concepts are of particular interest in this context. These can for example be biogas plants which are operated by electric service providers, or a biogas plant owned by one farmer, or bioenergy villages. The topic relates to the development of suitable criteria and to the adaption of existing indicator systems to the special requirements of sustainable biomass use for energy. The results of this sustainability assessment consider the different biomass concepts’ advantages and disadvantages, which are illustrated by multi-criteria valuation methods. Furthermore, the sustainability assessment of bioenergy concepts has specific requirements with regard to an information system in terms of data and information’s demand and supply side.

New developments in echocardiography/advanced echocardiography

2015 ◽  
pp. 67-88
Author(s):  
Silvia Gianstefani ◽  
Jens-Uwe Voigt ◽  
Mark J. Monaghan
Keyword(s):  
Speckle Tracking ◽  
Systolic Function ◽  
Three Dimensional ◽  
Data Interpretation ◽  
Tissue Doppler ◽  
Diagnostic Efficacy ◽  
Advantages And Disadvantages ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography ◽  
Global Systolic Function

The first part of this chapter illustrates how real-time three-dimensional echocardiography (3DE) has significantly improved and expanded the diagnostic efficacy of echocardiography providing anatomical and functional visualization of cardiac structures. The reader is introduced to the different applications of 3DE, to the different acquisition and display techniques of a 3D datasets and to the main artefacts which can possibly occur. The second part covers two-dimensional echocardiographic (2DE) and 3DE techniques for the assessment of global and regional myocardial function, its different parameters with typical findings and normal values. Clinical applications of the different techniques are explained focusing on the assessment of diastolic function, global systolic function, regional systolic function and dyssynchrony. Speckle tracking and Tissue Doppler are illustrated and their advantages and disadvantages discussed. Concise and practical information are provided to the reader to better understand and improve data acquisition, post-processing and data interpretation.

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