Decision support systems for weed management

Decision support systems for weed management

by Chantre, Guillermo R. González-Andújar, José L.

Type Book
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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 enhanc…

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Title Statements

  • Full title :Decision support systems for weed management / Guillermo R. Chantre, José L. González-Andújar, editors.

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.

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Edition Statements

  • Publication Date:2020

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham, Switzerland
  • Language:eng
  • Publication Date:2020

The Physical Object

  • Description:xii, 342 pages ; : 24 cm

Edition Identifiers

  • ISBN:3030444015, 9783030444013
  • oclc:on1142528979
  • LC Classification:SB611
  • Dewey Decimal:632.5

Table of Contents

Section I -- MODELLING IN WEED SCIENCE -- Chapter 1 -- Mathematical models -- Chapter 2 -- Decision Support Systems in Weed Science -- Chapter 3 -- Optimization in DSS -- Section II -- BIO-ECOLOGICAL MODELS -- Chapter 4 -- Population-based models -- Chapter 5 -- Weed germination and dormancy models -- Chapter 6 -- Field Emergence models -- Chapter 7 -- Interference/Competition models -- Chapter 8 -- Herbicide resistance modelling -- Section III -- ENVIRONMENTAL RISK MODELLING -- Chapter 9 -- Theory and practice for environmental risk assessment of weed management systems -- Chapter 10 -- Environmental risk indicators for weed management assessment: a case study of ecotoxicity risk using fuzzy logic -- Chapter 11 -- DRASTIC GIS-based models: assessing the vulnerability of groundwater resources -- Section IV -- WEED MANAGEMENT DECISION SUPPORT SYSTEMS: STUDY CASES -- Chapter 12 -- FLORSYS model: How to use a virtual field to evaluate and design IWM strategies at different spatial and temporal scales -- Chapter 13 -- Ryegrass Integrated Management (RIM)-based DSS -- Chapter 14 -- CPOweeds: DSS for multispecies weed control in cereals crops -- Chapter 15 -- AVENA-NET/LOLIUM-NET: DSS f…

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