Software Engineering Techniques Applied To Agricultural Systems

Author: Petraq J. Papajorgji
Publisher: Springer Science & Business Media
ISBN: 0387281711
Size: 42.19 MB
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Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The book is divided in two parts: the first part presents concepts of the object-oriented paradigm and the UML notation of these concepts, and the second part provides a number of examples of applications that use the material presented in the first part. The examples presented illustrate the techniques discussed, focusing on how to construct better models using objects and UML diagrams. More advanced concepts such as distributed systems and examples of how to build these systems are presented in the last chapter of the book. The book presents a step-by-step approach for modeling agricultural systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system.

Software Engineering Techniques Applied To Agricultural Systems

Author: Petraq J. Papajorgji
Publisher: Springer
ISBN: 1489974636
Size: 13.35 MB
Format: PDF, ePub
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Software Engineering Techniques Applied to Agricultural Systems presents cutting-edge software engineering techniques for designing and implementing better agricultural software systems based on the object-oriented paradigm and the Unified Modeling Language (UML). The focus is on the presentation of rigorous step-by-step approaches for modeling flexible agricultural and environmental systems, starting with a conceptual diagram representing elements of the system and their relationships. Furthermore, diagrams such as sequential and collaboration diagrams are used to explain the dynamic and static aspects of the software system. This second edition includes: a new chapter on Object Constraint Language (OCL), a new section dedicated to the Model-VIEW-Controller (MVC) design pattern, new chapters presenting details of two MDA-based tools – the Virtual Enterprise and Olivia Nova and a new chapter with exercises on conceptual modeling. It may be highly useful to undergraduate and graduate students as the first edition has proven to be a useful supplementary textbook for courses in mathematical programming in agriculture, ecology, information technology, agricultural operations research methods, agronomy and soil science and applied mathematical modeling. The book has broad appeal for anyone involved in software development projects in agriculture and to researchers in general who are interested in modeling complex systems. From the reviews of the first edition: "The book will be useful for those interested in gaining a quick understanding of current software development techniques and how they are applied in practice... this is a good introductory text on the application of OOAD, UML and design patters to the creation of agricultural systems. It is technically sound and well written." —Computing Reviews, September 2006

Data Mining In Agriculture

Author: Antonio Mucherino
Publisher: Springer Science & Business Media
ISBN: 0387886141
Size: 66.71 MB
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Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.

Driving Agribusiness With Technology Innovations

Author: Tarnanidis, Theodore
Publisher: IGI Global
ISBN: 1522521089
Size: 54.28 MB
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Modern web-based applications are pertinent for businesses, as they often encourage their core competencies and capabilities. As such, the agribusiness sector must begin to take advantage of the open networks and advances in communication and information technologies in order to grow their businesses exponentially. Driving Agribusiness With Technology Innovations highlights innovative business models and theories that encourage the use of emerging technological advances to produce thriving enterprises. Featuring extensive coverage on relevant topics including digital environments, mobile agriculture, supply chain platforms, and internet marketing models, this publication is an important reference source for business managers, practitioners, professionals, and engineers who are interested in discovering emerging technology trends for agribusiness.

Multi Criteria Decision Making Methods

Author: Evangelos Triantaphyllou
Publisher: Springer Science & Business Media
ISBN: 1475731574
Size: 78.10 MB
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Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their quality is hard to determine. Thus, the question `Which is the best method for a given problem?' has become one of the most important and challenging ones. This is exactly what this book has as its focus and why it is important. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities' with some of these methods. What makes this book so valuable and different is that even though the analyses are rigorous, the results can be understood even by the non-specialist. Audience: Researchers, practitioners, and students; it can be used as a textbook for senior undergraduate or graduate courses in business and engineering.

Systems Optimization Methodology

Author: V V Kolbin
Publisher: World Scientific
ISBN: 9814496774
Size: 38.91 MB
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This monograph deals with theoretical fundamentals and numerical methods of optimizing nondetermined models of systems. The main body of this work is devoted to investigation and optimization of system models under incomplete information. Much consideration is given to one-, two- and multistage problems of stochastic programming, solution methods and problems of solution stability. Optimization problems with fuzzy variables and optimization problems in function spaces are investigated. Examples are given for implementation of specific models of optimization under incomplete information. The book is based on lectures delivered by the author since 1965 for undergraduates and postgraduates at St. Petersburg (Leningrad) State University. Contents: Risk and Uncertainty in the Complex SystemsChance-Constrained Stochastic ProgrammingTwo-Stage Stochastic Programming ProblemsMultistage Stochastic Programming ProblemsGame Approach to Stochastic Programming ProblemsExistence of Solution and Its Optimality in Stochastic Programming ProblemsStability of Solutions in Stochastic Programming ProblemsMethods for Solving Infinite and Semi-Infinite Programming ProblemsOptimization of Fuzzy SetsOptimization of Nonlinear Programming Problems with Nonuniquely Defined VariablesOptimization Problems in Function Spaces Readership: Applied mathematicians, engineers and researchers in electrical engineering and computer science. keywords:Risk and Uncertainty;Stochastic Programming;Two-stage Problems;Multistage Problems;Stability of Solutions;Infinite Programming Problems;Optimization on Fuzzy Sets;Nonlinear Programming;Optimization Problems in Function Spaces;Vector Lattices;Complex System Optimization;Stochastic Programming;Chance-Constrained Methods;Risk and Uncertainty Techniques;Textbook;Principle of Maximum Entropy;Invariance Principle;Statistical Methods;Bayesian Statistical Decision Theory;Sequential Decision-Making