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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.19103/as.20...
Part of book or chapter of book . 2025 . Peer-reviewed
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Developments in precision weed management systems for precision agriculture

Authors: António Cardoso-Monteiro; Svend Christensen;

Developments in precision weed management systems for precision agriculture

Abstract

This chapter highlights the essential need for sustainable agriculture to mitigate the environmental impact of industrial crop production while meeting rising global food demands. It examines the transition from conventional weed management to site-specific weed management (SSWM), encompassing sophisticated weed detection techniques, data-based decision algorithms, and precise weed control tools. The chapter delves into the contribution of technologies such as remote sensing and autonomous robotics in enhancing weed management practices. Additionally, the chapter underscores the advantages of SSWM in reducing herbicide usage and advocates for the integration of intelligent robotics and precision systems to improve agricultural sustainability and efficiency, paving the way for more sustainable and productive farming practices.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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