Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach (Applied Optimization, Band 100) - Softcover

Über die Autorin bzw. den Autor

Prof.Dr. Petraq Papajorgji is Emeritus Professor at Moore Albania SH.P.K, Tirana, Albania. His area of expertise is modeling complex information systems. Prof. Papajorgji was, for ten years, co-editor-in-chief of the International Journal of Agricultural and Environmental Information Systems (IJAEIS), Associate Editor of Journal of Biomedical Data Mining, Iberoamerican Journal of Applied Computing, , Member of Center for the Applied Optimization University of Florida, Gainesville, Florida, USA, Honorary Citizen of Berat, Albania. Prof. Papajorgji is the national director of Albania of CEDIMES (Centre d'Etudes sur le Développement International et les Mouvements Economiques et Sociaux) Prof. Papajorgji is a member of the group awarded the Prize of the Republic for the study "The Conditions of the Olive Tree in Albania", 1986. Professor Papajorgji is a Fulbright Scholar 1992-1993. Currently, Prof. Papajorgji is in the top 3% of the list of Albanian scientists. H.R. Moskowitz holds a bachelor's degree from Queens College, New York, Mathematics, Psychology; Phi Beta Kappa, and Ph.D. Harvard University, Experimental Psychology. Dr.Moskowitz has held several academic positions, such as: Visiting Professor/Fellow, University of Pennsylvania, Wharton School of Business, Department of Marketing, SEI Center for Advanced Studies in Management. Senior Fellow, Science Advisory Committee, Vineland Research and Innovation Centre, Ontario, Canada (7/17/ 2009- present). Visiting Professor, Queens College of the City of New York, and Chairman, Institute for Competitive Excellence (Founded 11/09). Visiting Professor, University of Florida, Department of Community Dentistry and Behavioral Sciences, Center for Smell and Taste. Board of Advisors, Afghan Education Peace Foundation, a New York City-based not-for-profit that seeks to strengthen the security of the United States by rebuilding the economic and social infrastructure of Afghanistan. Member, Culinary Institute of America, Dept. of Culinary Science, Research Advisory Council. Dr. Moskowitzhas a long list of awards; among others, he is the recipient of: Fellow of the IFT (Institute of Food Technologists). 2004 - David R Peryam Award. 2005 - Charles Coolidge Parlin Marketing Research Award (American Marketing Association). 2006 - Market Research Council Hall of Fame Award. 2006 - First recipient of Research Innovation Award - Advertising Research Foundation. 2010 - Sigma Xi, The Scientific Research Society Walston Chubb Award for Innovation. 2010 - Emerald Literati Network Best Paper Award for Excellence Journal of Product and Brand Management.

Von der hinteren Coverseite

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.

Audience

This book is intended for anyone involved in software development projects in agriculture, including managers, team leaders, developers and modellers of agricultural and environmental systems.