Advances in Modeling Agricultural Systems [electronic resource] /
Papajorgji, Petraq.editor.
Pardalos, Panos M.editor.(orcid)0000-0003-2824-101Xhttps://orcid.org/0000-0003-2824-101Xedt
This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field.
Description based upon print version of record.
The Model Driven ArchitectureModel Driven Architecture MDA Approach: A Framework for Developing Complex Agricultural Systems -- A New Methodology to Automate the Transformation of GISGIS Models in an Iterative iterative Development Process -- Application of a Model Transformation Transformation Paradigm in Agriculture: A Simple Environmental environmental System Case Study -- Constraints Modeling in Agricultural Databases -- Design of a Model model -Driven Web Decision Support System decision support system in Agriculture agriculture : From Scientific Models to the Final Software -- How2QnD: Design and Construction of a Game-Style, Environmental Simulation Engine and Interface Using UML, XML, and Java -- The Use of UML as a Tool for the Formalisation of Standards and the Design of Ontologies in Agriculture -- Modeling External Information Needs of Food Business Networks -- Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages -- A UML-Based Plug&Play Version of RothC -- Ontology-Based Simulation Applied to Soil, Water, and Nutrient Management -- Precision Farming, Myth or Reality: Selected Case Studies from Mississippi Cotton Fields -- Rural Development Through Input–Output Modeling -- Modeling in Nutrient Sensing for Agricultural and Environmental Applications -- Estimation of Land Surface Parameters Through Modeling Inversion of Earth Observation Optical Data -- A Stochastic Dynamic Programming Model for Valuing a Eucalyptus Investment -- Modelling Water Flow water flow and Solute Transport in Heterogeneous Unsaturated Porous Media -- Genome Analysis of Species of Agricultural Interest -- Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods -- Modeling and Device Development for Chlorophyll Estimation in Vegetation -- Clustering and Classification Algorithms in Food and Agricultural Applications: A Survey -- Mathematical Modelling of Modified Atmosphere Package: An Engineering Approach to Design Packaging Systems for Fresh-Cut Produce.
This book presents an up-to-date review of advances in the mathematical modeling of agricultural systems. It covers a broad spectrum of problems and applications based on internet and communications technology, as well as methodological approaches based on the integration of different simulation and data management tools. Using real-world cases, each chapter presents a detailed solution of a problem in a particular field. This book demonstrates that regardless of the nature of the problem and the application domain, modeling is a central and important activity in the process of developing agricultural systems. Researchers and graduate students in the fields of agriculture and environmental studies will benefit from this book. It will also serve as an excellent reference for managers, team leaders, developers and modelers of agricultural and environmental systems and researchers in the applied computation field.
Computer mathematics.
Agriculture.
Computer simulation.
Environmental monitoring.
Information technology.
Business—Data processing.
Software engineering.
Computational Science and Engineering.
Agriculture.
Simulation and Modeling.
Monitoring/Environmental Analysis.
IT in Business.
Software Engineering.
Springer optimization and its applications