Developments in precision weed management systems for precision agriculture

Publication date: 31/01/2025
Extent: 22 pages

Contributions by: António Cardoso-Monteiro, CERNAS, Research Centre for Natural Resources and Polytechnic Institute of Viseu, Portugal; and Svend Christensen, University of Copenhagen, Denmark

Chapter synopsis:

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.

DOI: 10.19103/AS.2025.0152.19