Software Engineering Techniques Applied to Agricultural Systems

Author: Petraq J. Papajorgji
Publisher: Springer
ISBN: 1489974636
Format: PDF, Kindle
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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
Format: PDF, Docs
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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
Format: PDF, ePub, Docs
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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.