Site-specific weed management—constraints and opportunities for the weed research 1 community. Insights from a workshop

The adoption of site-specific weed management (SSWM) technologies by farmers is not aligned with 25 the scientific achievements in this field. While scientists have demonstrated significant success in 26 real-time weed identification, phenotyping and accurate weed mapping by using various sensors and 27 platforms, the integration by farmers of SSWM and weed phenotyping tools into weed management 28 protocols is limited. This gap was therefore a central topic of discussion at the most recent workshop 29 of the SSWM Working Group arranged by the European Weed Research Society (EWRS). This 30 insight paper aims to summarize the presentations and discussions of some of the workshop panels 31 and to highlight different aspects of weed identification and spray application that were thought to 32 hinder SSWM adoption. It also aims to share views and thoughts regarding steps that can be taken to 33 facilitate future implementation of SSWM. 34 35

Bibliographic Details

Main Author:	Ran Nisim Lati1,*, Jesper Rasmussen2,**, Dionisio Andujar3, Jose Dorado4, Therese W. Berge5, 4 Christina Wellhausen6, Michael Pflanz6,7, Henning Nordmeyer6, Michael Schirrmann7, Hanan 5 Eizenberg1, Paul Neve8, Rasmus Nyholm Jørgensen9 and Svend Christensen2
Format:	artículo biblioteca
Published:	2021
Subjects:	Actor network, Deep learning, Integrated weed management, Machine learning, Precision 36 agriculture, Phenotyping, Weed detection, Weed mapping,
Online Access:	http://hdl.handle.net/10261/236612
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