Site‐specific weed management—constraints and opportunities for the weed research community: Insights from a workshop-Reference-Cited by-同舟云学术

Site‐specific weed management—constraints and opportunities for the weed research community: Insights from a workshop

Published:2021-02-28 Issue:3 Volume:61 Page:147-153
ISSN:0043-1737
Container-title:Weed Research
language:en
Short-container-title:Weed Res

Author:

Lati Ran Nisim¹,Rasmussen Jesper²^ORCID,Andujar Dionisio³,Dorado Jose⁴,Berge Therese W.⁵,Wellhausen Christina⁶,Pflanz Michael⁶⁷,Nordmeyer Henning⁶,Schirrmann Michael⁷,Eizenberg Hanan¹,Neve Paul⁸^ORCID,Jørgensen Rasmus Nyholm⁹,Christensen Svend²^ORCID

Affiliation:

1. Department of Plant Pathology and Weed Research Newe Ya'ar Research Center Agricultural Research Organization Ramat Yishay Israel

2. Department of Plant and Environmental Sciences Faculty of Science University of Copenhagen Taastrup Denmark

3. Center for Automation and Robotics Spanish National Research Council CSIC‐UPM Madrid Spain

4. Institute of Agricultural Sciences Spanish National Research Council CSIC Madrid Spain

5. Norwegian Institute of Bioeconomy Research (NIBIO) Ås Norway

6. Julius Kühn‐Institut Institute for Plant Protection in Field Crops and Grassland Braunschweig Germany

7. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) Potsdam‐Bornim Germany

8. Department of Biointeractions and Crop Protection Rothamsted Research Harpenden UK

9. Department of Engineering‐Signal Processing Faculty of Science and Technology Aarhus University Aarhus C Denmark

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wre.12469

Reference50 articles.

1. Abadi M. Agarwal A. Barham P. Brevdo E. Chen Z. Citro C.et al. (2016)TensorFlow:large‐scale machine learning on heterogeneous Distributed Systems.

2. An Approach to the Use of Depth Cameras for Weed Volume Estimation

3. Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (UAVs)

4. Towards machine vision based site-specific weed management in cereals

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