Sensors for Autonomous Agricultural Robotics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 5169
Special Issue Editor
Interests: image-based sensor systems; agricultural field robotics; sensor data fusion; field-based phenotyping; optoelectronics
Special Issue Information
Dear Colleagues,
The potential of autonomous field robotics with respect to economic, ecologic as well as social aspects has come into focus. This does not only affect the processes itself—such as weeding or harvesting—but includes the integration into the farm (examples are field logistics or remote service) and the supply chain network. However, the transfer from research to products is hampered by the non-availability of robust sensor solutions. Agricultural machinery do not only navigate (such as in automotive applications), but have to work under complex varying conditions; therefore, sensors for agricultural processing, safety issues, and navigation are innovation drivers for autonomy. Thus, this Special Issue is aimed to the research and technology transfer of intelligent sensors for autonomous agricultural robotics.
- sensor and multisensor systems for processing, navigation, and safety
- computer vision, machine learning, and artificial intelligence
- robustness of sensors and algorithms
- low-cost sensor solutions
- development and simulation methods (such as digital twins, test stands, and reference environments)
- certification, standardization, and measurement methodologies
- applications in agriculture contexts such as crop production, livestock farming, horticulture, or forestry
Prof. Dr. Arno Ruckelshausen
Guest Editor
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