| Description |
1 online resource |
| Contents |
Part I. Modelling: A Brief Introduction to Decision Support Systems -- 1. Mathematical Models -- 2. Introduction to Decision Support Systems -- 3. Optimization in Decision Support Systems -- Part II. Bio-Ecological and Site-Specific Based Models -- 4. Modelling Weed Seedbank Dormancy and Germination -- 5. Weed Emergence Models -- 6. Weed Interference Models -- 7. Site-Specific Based Models -- Part III. Environmental Risk Modelling -- 8. Theory and Practice for Environmental Risk Assessment: Understanding the Trade-Off Between the Benefits and Risks Behind Herbicide Use as Tool for Designing Sustainable Weed Management Systems -- 9. Environmental Risk Indicators for Weed Management: A Case Study of Ecotoxicity Assessment Using Fuzzy Logic -- 10. DRASTIC and PIRI GIS-Based Indexes: Assessing the Vulnerability and Risk of Groundwater Pollution -- Part IV. Weed Management Decision Support Systems: Study Cases -- 11. How to Use a "Virtual Field" to Evaluate and Design Integrated Weed Management Strategies at Different Spatial and Temporal Scales -- 12. Ryegrass Integrated Management (RIM)-Based Decision Support System -- 13. IPMwise: A Decision Support System for Multispecies Weed Control in Cereal Crops -- 14. AvenaNET and VallicoNET: DSS for Avena sterilis and Lolium rigidum Control in Spanish Dryland Cereal Crops -- 15. A Simulation Model as the Core for Integrated Weed Management Decision Support Systems: The Case of Avena fatua-Winter Wheat in the Semiarid Pampean Region of Argentina -- Index |
| Summary |
Weed management Decision Support Systems (DSS) are increasingly important computer-based tools for modern agriculture. Nowadays, extensive agriculture has become highly dependent on external inputs and both economic costs, as well the negative environmental impact of agricultural activities, demands knowledge-based technology for the optimization and protection of non-renewable resources. In this context, weed management strategies should aim to maximize economic profit by preserving and enhancing agricultural systems. Although previous contributions focusing on weed biology and weed management provide valuable insight on many aspects of weed species ecology and practical guides for weed control, no attempts have been made to highlight the forthcoming importance of DSS in weed management. This book is a first attempt to integrate 'concepts and practice' providing a novel guide to the state-of-art of DSS and the future prospects which hopefully would be of interest to higher-level students, academics and professionals in related areas |
| Notes |
Includes index |
|
Online resource; title from digital title page (viewed on August 31, 2020) |
| Subject |
Weeds -- Control.
|
|
Decision support systems.
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Decision Support Systems, Management
|
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Decision support systems
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Weeds -- Control
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| Form |
Electronic book
|
| Author |
Chantre, Guillermo R., editor
|
|
González Andújar, J. L., editor.
|
| ISBN |
9783030444020 |
|
3030444023 |
|
