David Reiser from the University of Hohenheim presented a webinar on Friday, May 24, 2019 at 3:30pm/15:30 CEST (UTC +2).
The edited video is available here [215MB], as well as through YouTube.
Talk details.
Title: How can we integrate robots in agriculture crop production?
Phoenix agricultural robot from the University of Hohenheim, Germany. This robot has different tools for tasks such as precision spraying, intra-row weeding in vineyards, and inter-row weeding in crop rows. Image provided by David Reiser.
Abstract: In western countries there will be no way around automating processes and use robots to fulfill tasks in future. Lag of labor force, price pressure and law regulations will push farmers to robot technology. However, it is still not clear, how robots would look like in future farms. Will there be automated tractors, medium sized machines or even small swarm operated machines? In this webinar we present our ongoing research on autonomous robots in agriculture: Autonomous navigation with RTK-GNSS for weeding operations, row navigation with camera and LiDAR sensors, camera based in-row and intra-row weeding and robots for scouting and leaf area estimation. Additionally, the ongoing research on optimizing traction and energy consumption for small lightweight machines for agriculture is presented.
Supplementary/Reading materials:
D. Reiser's Google Scholar page
Biographical Information.
David Reiser studied "Automation Technology in Production" at the University of Stuttgart and completed his studies with his diploma thesis in December 2013. He wrote his diploma thesis at the Fraunhofer Institute (IPA) in Stuttgart. His studies focused on the fields of robotics, image processing and 3D point cloud processing. After his studies he deepened his knowledge in the field of robotics for agriculture. To this end, he accepted a scientific position at the University of Hohenheim at the Institute of Agricultural Engineering in the department of Technology in Crop Production, which he still holds today. He completed his doctorate with the title "Perception for context-awareness of agricultural robots" with "magna cum laude" in December 2018.
His research activities are documented by his numerous publications in international journals and for conferences. He has been listed in SCOPUS since 2015 with an index of 5 with 12 documents and 90 citations (as of 30.04.2019). At the same time, he worked on research projects in cooperation with industrial partners such as John Deere, Bosch and Linak. At the University of Hohenheim he teaches the lectures "Measurement and Control Technology", "Automation of Agricultural Processes" and "Robotics in Agriculture". The latter course, which he mainly designs, covers the technical and informatics aspects central to the development of robots in agriculture. In addition, an essential part of the course is student participation in the so-called "Field Robot Event", an international competition for agricultural field robots. He has been in charge of the participating student team at the University of Hohenheim since 2014. His tasks also include the supervision of final theses.