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New Technologies for Constructing Complex Agricultural and Environmental Systems

Book Description

The worldwide increase in population has led to numerous innovative approaches to the difficulties posed by food production and agriculture in general. New Technologies for Constructing Complex Agricultural and Environmental Systems presents high-quality research on the design and implementation of information systems in the fields of agronomics, mathematics, economics, computer science, and the environment. This book gives holistic approaches to the design, development, and implementation of complex agricultural and environmental information systems, addressing the integration of several scientific domains such as agronomy, mathematics, economics, and computer science. This book will only become more important as the world searches for the best ways to manage food production.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. Associate Editors
    3. List of Reviewers
  5. Preface
    1. DATA WAREHOUSES
    2. ONTOLOGIES
    3. GIS-BASED SYSTEMS AND SPATIAL ANALYSES
    4. DECISION SUPPORT SYSTEMS
    5. SURVEY ON NEW COMPUTER-BASED TECHNIQUES APPLIED TO AGRICULTURE AND ENVIRONMENT
  6. Section 1: Data Warehouses and Simulation Results
    1. Chapter 1: A Multidimensional Model for Data Warehouses of Simulation Results
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. SIMULATION RESULTS: WAREHOUSING AND ANALYSIS METHODOLOGY
      5. 4. CASE STUDY
      6. 5. CONCLUSION
    2. Chapter 2: SimExplorer
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION AND DISCUSSION
    3. Chapter 3: A Web-Based Tool for Spatio-Multidimensional Analysis of Geographic and Complex Data
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. GEOGRAPHIC AND COMPLEX MEASURES
      5. 4. GEWOLAP: A TOOL FOR THE ANALYSIS OF COMPLEX SPATIAL DATA WAREHOUSES
      6. 5. AN ENVIRONMENTAL CASE STUDY
      7. 6. COMPARISON WITH EXISTING SYSTEMS
      8. 7. CONCLUSION AND FUTURE WORK
    4. Chapter 4: A Systematic Approach for Managing the Risk Related to Semantic Interoperability between Geospatial Datacubes
      1. ABSTRACT
      2. INTRODUCTION
      3. RISK OF DATA MISINTERPRETATION RELATED TO SEMANTIC INTEROPERABILITY BETWEEN GEOSPATIAL DATACUBES
      4. AN APPROACH TO IDENTIFY AND ASSESS THE RISK OF DATA MISINTERPRETATION: MODEL QUALITY PERSPECTIVE
      5. CONCEPTUAL MODEL QUALITY: AN ASPECT TO IDENTIFY AND EVALUATE THE RISKS OF DATA MISINTERPRETATION
      6. INDICATORS TO IDENTIFY AND EVALUATE THE RISKS OF DATA MISINTERPRETATION
      7. RESPONDING TO THE RISKS OF DATA MISINTERPRETATION
      8. EXAMPLE OF APPLICATION
      9. USEFULNESS OF THE INTEROPERABILITY OF GEOSPATIAL DATACUBES FOR ENVIRONMENTAL APPLICATIONS
      10. CONCLUSION
  7. Section 2: Ontologies
    1. Chapter 5: Using Ontologies to Relate Resource Management Actions to Environmental Monitoring Data in South East Queensland
      1. ABSTRACT
      2. INTRODUCTION
      3. THE SOUTH EAST QUEENSLAND HEALTHY WATERWAYS PARTNERSHIP
      4. OBJECTIVES OF THE HEALTH-E-WATERWAYS PROJECT
      5. RELATED WORK
      6. METHODOLOGY
      7. DATABASE SURVEY AND REGISTRATION
      8. THE EHMP ONTOLOGY
      9. THE MANAGEMENT ACTION ONTOLOGY
      10. SYSTEM IMPLEMENTATION AND ARCHITECTURE
      11. DYNAMIC GENERATION OF ONLINE ECOSYSTEM REPORT CARDS
      12. VISUALIZING THE IMPACT OF MANAGEMENT ACTIONS
      13. DISCUSSION
      14. FUTURE WORK AND CONCLUSION
    2. Chapter 6: A Conceptual Model of Grassland-Based Beef Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BEEF FARMING AS THE EXPLICIT MANAGEMENT OF BIOPHYSICAL ENTITIES AND PROCESSES
      4. A CONCEPTUAL MODEL OF THE BIOPHYSICAL SYSTEM
      5. A CONCEPTUAL MODEL OF THE MANAGEMENT SYSTEM
      6. FROM THE CONCEPTUAL MODEL TO A SPECIFIC FARM MODEL AND ITS USE IN SIMULATION-BASED DESIGN
      7. CONCLUSION
    3. Chapter 7: An Ontology-Based Framework for Authoring Tools in the Domain of Sustainable Energy Education
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTIVATION AND RATIONALE
      4. THE PROPOSED FRAMEWORK
      5. ONTOLOGIES DEVELOPMENT
      6. RELATED WORK
      7. EVALUATION OF THE FRAMEWORK
      8. CONNECTING THE PARTS: HOW THE PROPOSED FRAMEWORK CONTRIBUTES
      9. CONCLUSION AND FUTURE DEVELOPMENT
  8. Section 3: GIS-Based Systems and Spatial Analyses
    1. Chapter 8: Application of Support Vector Machines to Melissopalynological Data for Honey Classification
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. DATA EXPLORATION
      4. 3. DATA PREPARATION
      5. 4. CLASSIFICATION
      6. 5. RESULTS VALIDATION
      7. 6. IDENTIFICATION OF MARKER SPECIES
      8. 7. CONCLUSION
    2. Chapter 9: Urban Versus Rural
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. AN OVERVIEW OF SPATIAL STATISTICS TECHNIQUES
      4. 3. THE CASE STUDY
      5. 4. RESULTS AND FINAL DISCUSSION
    3. Chapter 10: Coupling Geographic Information System (GIS) and Multi-Criteria Analysis (MCA) for Modelling the Ecological Continuum in Participative Territorial Planning
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: DEFINITION, HISTORY, INTEREST, DESCRIPTION, AND ANALYSIS OF THE INITIAL METHOD
      4. THE NEW METHOD
      5. RESULTS
      6. DISCUSSION AND PERSPECTIVES
      7. CONCLUSION
    4. Chapter 11: Spatial Pattern Mining for Soil Erosion Characterization
      1. ABSTRACT
      2. INTRODUCTION
      3. SPATIAL PATTERN MINING
      4. TOWARDS A BETTER INTERPRETATION OF CO-LOCATIONS FOR EXPERTS
      5. APPLICATION TO SOIL EROSION CHARACTERIZATION
      6. CONCLUSION
    5. Chapter 12: Describing Spatio-Temporal Phenomena for Environmental System Development
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. OVERVIEW OF THE LANGUAGES FOR MODELING GEOGRAPHIC INFORMATION SYSTEMS
      4. 3. TYPE OF SPATIALITIES AND TEMPORALITIES
      5. 4. CONCLUSION
  9. Section 4: Decision Support Systems
    1. Chapter 13: Using Soclab for a Rigorous Assessment of the Social Feasibility of Agricultural Policies
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE SOCIOLOGICAL BASE: THE SOCIOLOGY OF THE ORGANIZED ACTION
      4. 3. THE META-MODEL OF A CONCRETE SYSTEM OF ACTIONS
      5. 4. THE SOCLAB ENVIRONMENT
      6. 5. USING SOCLAB IN THE CONCERT’EAU PROJECT
      7. 6. CONCLUSION
    2. Chapter 14: Pyroxene
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MULTI-MODELLING OF SPATIAL DYNAMICS LEADING TO CHANGES IN FOREST FIRE RISK
      4. 4. ARCHITECTURE AND IMPLEMENTATION
      5. 5. OPERATIONAL USE AND VALIDATION OF THE PYROXENE INTEGRATION PLATFORM
      6. 6. CONCLUSION
    3. Chapter 15: On the Use of Abduction as an Alternative to Decision Trees in Environmental Decision Support Systems
      1. ABSTRACT
      2. INTRODUCTION
  10. Section 5: Survey on New Computer-Based Techniques Applied to Agriculture and Environment
    1. Chapter 16: Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. WHY UML?
      4. DESIGN PATTERNS
      5. THE OBJECT CONSTRAINT LANGUAGE (OCL)
      6. UML FOR BUSINESS MODELING
      7. UML FOR SPATIAL MODELING
      8. THE MODEL DRIVEN ARCHITECTURE (MDA) APPROACH
      9. ONTOLOGY
      10. CONCLUSION
    2. Chapter 17: Data Mining Techniques in Agricultural and Environmental Sciences
      1. ABSTRACT
      2. INTRODUCTION
      3. ARTIFICIAL NEURAL NETWORKS
      4. SUPPORT VECTOR MACHINES
      5. GENERALIZED EIGENVALUE CLASSIFICATION
      6. APPLICATIONS
      7. FUTURE DIRECTIONS
    3. Chapter 18: The Role of Crop Systems Simulation in Agriculture and Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. AN HISTORICAL OVERVIEW
      4. RESEARCH SYNTHESIS: MODELS ENCOURAGE INTERDISCIPLINARY COLLABORATION AMONG RESEARCHERS
      5. MODELS AS STRATEGIC TOOLS FOR RESEARCH PLANNING AND POLICY
      6. REAL-TIME DECISION SUPPORT TOOLS FOR MANAGEMENT DECISIONS
      7. CROP SYSTEM SIMULATORS AS EDUCATIONAL TOOLS
      8. A FUTURE CHALLENGE: MODELING AND GENETICS/MOLECULAR BIOLOGY
      9. FUTURE NEEDS: MORE SCIENCE IN THE MODELS AND MODEL IMPROVEMENT
  11. Compilation of References
  12. About the Contributors