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Developing decision support systems (DSS) for weed management

Code: 9781801464833
Panagiotis Kanatas, University of Patras, Greece; and Ilias Travlos, Ioannis Gazoulis and Alexandros Tataridas, Agricultural University of Athens, Greece

Chapter synopsis: The objectives of this chapter are to review what is achievable in DSS designed specifically for weed management, identify the obstacles in creating more effective DSS, and discuss how to increase adoption by farmers. DSS can model crop yield losses due to weed competition and set thresholds for intervention which can significantly reduce herbicide use. Developing DSSs able to prevent the spread of herbicide-resistant weeds is a challenging objective for experts and agronomists. Validated and reliable results as well as continuous communication between experts and farmers are key factors affecting adoption of DSS in weed management.

DOI: 10.19103/AS.2021.0098.08
Table of contents 1 Introduction 2 Decision support systems for weed management: setting thresholds 3 The role of decision support systems in reducing herbicide use 4 Decision support systems and preventing herbicide resistance 5 Decision support systems and long-term management of a broad spectrum of weed species 6 Increasing adoption of weed management decision support systems by farmers 7 Conclusions 8 Where to look for further information 9 References

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