Advances in Modeling Agricultural Systems

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Petraq Papajorgji, Panos M. Pardalos
Springer Science & Business Media, Feb 28, 2009 - Computers - 522 pages
Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.
 

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Contents

A Framework for Developing Complex Agricultural Systems
1
A New Methodology to Automate the Transformation of GIS Models in an Iterative Development Process
19
A Simple Environmental System Case Study
37
Constraints Modeling in Agricultural Databases
55
From Scientific Models to the Final Software
67
Design and Construction of a GameStyle Environmental Simulation Engine and Interface Using UML XML and Java
103
The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture
131
Modeling External Information Needs of Food Business Networks
149
Rural Development Through InputOutput Modeling
273
Modeling in Nutrient Sensing for Agricultural and Environmental Applications
297
Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data
317
A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment
339
Modelling Water Flow and Solute Transport in Heterogeneous Unsaturated Porous Media
361
Genome Analysis of Species of Agricultural Interest
385
Modeling and Solving RealLife Global Optimization Problems with Metaheuristic Methods
403
Modeling and Device Development for Chlorophyll Estimation in Vegetation
421

A Case Study for IDEF0 GRAI Grid and AMS Languages
167
A UMLBased PlugPlay Version of RothC
193
OntologyBased Simulation Applied to Soil Water and Nutrient Management
209
Selected Case Studies from Mississippi Cotton Fields
243
A Survey
433
An Engineering Approach to Design Packaging Systems for FreshCut Produce
455
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About the author (2009)

Panos M. Pardalos is one of the leading experts in global optimization and control theory. V. Yatsenko's research is connected with control of bilinear systems, nonlinear estimation, control of quantum systems, and globabl optimization problems. Both Pardalos and Yatsenko have authored numerous publications including books and well-known scientific journals.