EWRS webinar series 2021 Part 2: Innovations in Site-specific Weed Management
Presentations by Prof. Roland Gerhards, University of Hohenheim, Germany and Dr. Ran Lati, ARO Volcani Center, Israel
online webinar 14:00 - 15:30 CET, 3rd of March 2021
EWRS webinar series 2021
This year, a group of EWRS members got together to develop a webinar series covering a wide range of innovative topics that are of interest to everyone involved in weed science and management. Join our webinars to follow a stimulating discussion about the latest research tools and management practices for sustainable weed management. You can download the full programme HERE.
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On the 3rd of March, Prof. Roland Gerhards, University of Hohenheim, Germany, will give a presentation on "Site-specific weed management: Automization and robotics" and Dr. Ran Lati, ARO Volcani Center, Israel, will give a speech on "Site-specific weed management: Phenotyping, detection of resistance weeds using hyperspectral data and early detection of broomrape as a case study".
Prof. Roland Gerhards - University of Hohenheim, Germany:
Site-specific weed management: Automization and robotics.
Prof. Roland Gerhards is full professor of Weed Science at the University of Hohenheim. He obtained a Ph.D. in Agricultural Sciences at the University of Bonn in 1993. Now, he is a teacher and researcher in the Agricultural Faculty at the University of Hohenheim. He teaches Weed Biology, Weed Control, Precision Farming and Integrated Crop Protection in several Bachelor- and Master Courses. Within the Erasmus Sokrates Program he gives invited lectures at the Czech University of Life Sciences in Prague. Currently, his scientific interests are focused on Integrated Weed Management Systems, Precision Farming in Weed Management, Sensor- and application technologies in Crop Protection. Roland Gerhards is a member of the German Phytomedicine Society (DPG) and the European Weed Research Society (EWRS) He has authored and co-authored 146 papers in peer-reviewed international journals.
In Precision Weed Management, sensor technologies, decision algorithms and precise application technologies are integrated and they communicate with each other. In the Webinar, five examples are presented for successful Precision Weed Management: 1. Online patch spraying in maize, 2. Offline site-specific weed control in cereals, maize and sugar beet, 3. Online camera-controlled inter-row hoeing, 4. Online camera-controlled harrowing and 5. Weed scouting based on neural networks. The five systems presented are robust and easy to handle for the farmers/consultants. Therefore, they have been integrated in practical farming systems.
Dr. Ran Lati - ARO Volcani Center, Israel:
Hyperspectral Imaging- New Opportunities for Precise Weed Management and Phenotyping
Dr. Ran Lati studied Crop Protection at The Hebrew University of Jerusalem and received his PhD from the Department of Mapping and Geo-Information Engineering in The Technion, at 2012. He completed a postdoctoral fellowship at the Plant Sciences Department, UC Davis. Since 2015, he works as a research scientist in the Department of Plant Pathology and Weed Research in Newe Ya'ar Research Center, Agricultural Research Organization (ARO). He is currently focus on different aspects of precise weed management and development and integration of non-chemical weed control methods.
Hyperspectral imaging detects signals in a series of continuous channels with a narrow bandwidth. These sensors can monitor slight changes in various biochemical, biophysical and physiological plant properties, detect plants stress and provide detailed plant phenotyping. Hyperspectral cameras are not widely used for precision agriculture purposes due to their high costs. In recent years, different mini-sized and low-cost airborne hyperspectral sensors have been introduced. Advanced space-borne hyperspectral sensors have also been or will be launched in the near future, making hyperspectral imaging widely available for agricultural applications. This talk aims to demonstrate some of the potential contribution that hyperspectral imaging has to offer for the field of precise weed management and phenotyping.