Decision Support Systems for Weed Management

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

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 341
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
Mathematical Models (Niels Holst)....Pages 3-23
Introduction to Decision Support Systems (José L. González-Andújar)....Pages 25-38
Optimization in Decision Support Systems (Aníbal M. Blanco)....Pages 39-57
Front Matter ....Pages 59-59
Modelling Weed Seedbank Dormancy and Germination (Diego Batlla, Cristian Malavert, Rocío Belén Fernández Farnocchia, Roberto Benech-Arnold)....Pages 61-83
Weed Emergence Models (Aritz Royo-Esnal, Joel Torra, Guillermo R. Chantre)....Pages 85-116
Weed Interference Models (Manpreet Singh, Simerjeet Kaur, Bhagirath S. Chauhan)....Pages 117-142
Site-Specific Based Models (Cesar Fernández-Quintanilla, José Dorado, Dionisio Andújar, J. M. Peña)....Pages 143-157
Front Matter ....Pages 159-159
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 (Felipe Ghersa, Sebastián Pessah, Alejandra C. Duarte Vera, Diego O. Ferraro)....Pages 161-189
Environmental Risk Indicators for Weed Management: A Case Study of Ecotoxicity Assessment Using Fuzzy Logic (Diego O. Ferraro, Alejandra C. Duarte Vera, Sebastián Pessah, Felipe Ghersa)....Pages 191-210
DRASTIC and PIRI GIS-Based Indexes: Assessing the Vulnerability and Risk of Groundwater Pollution (Jorgelina C. Montoya, Carolina Porfiri, Pablo M. Vazquez, Sharon Papiernik, Pamela Azcarate, Zinda Roberto)....Pages 211-224
Front Matter ....Pages 225-225
How to Use a “Virtual Field” to Evaluate and Design Integrated Weed Management Strategies at Different Spatial and Temporal Scales (Nathalie Colbach)....Pages 227-248
Ryegrass Integrated Management (RIM)–Based Decision Support System (Joel Torra, Marta Monjardino)....Pages 249-278
IPMwise: A Decision Support System for Multispecies Weed Control in Cereal Crops (José M. Montull, Andreu Taberner, Ole Bøjer, Per Rydahl)....Pages 279-298
AvenaNET and VallicoNET: DSS for Avena sterilis and Lolium rigidum Control in Spanish Dryland Cereal Crops (José L. González-Andújar)....Pages 299-309
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 (Franco A. Molinari, Aníbal M. Blanco, Mario R. Vigna, Guillermo R. Chantre)....Pages 311-333
Back Matter ....Pages 335-342

✦ Subjects

Life Sciences; Agriculture; Monitoring/Environmental Analysis; Computer-Aided Engineering (CAD, CAE) and Design; Computational Biology/Bioinformatics