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Niedersächsisches Ministerium für Ernährung, Landwirtschaft und Verbraucherschutz
Lower Saxony and Bremen
Calenberger Straße 2
30169 Hannover
Website: External link to the authority
PRo-MAPPER Plant Robot for Multidimensional Artificial Phenotyping for Plasma Enhanced Research
The aim of the project is the combination of innovative robotics methods, a multisensory data fusion for phenotyping and plasma-technological approaches to a new overall system for highly automated use in the agricultural sector. This system is intended to enable the efficient use of conventional crop protection measures and nutrient additives significantly earlier than in classical farming systems. In the process, the use of pesticides is to be significantly reduced or avoided through the early application of alternative treatment methods, such as the application of plasma-activated liquids (PAL) or the early removal of infected seedlings. The experiments are carried out in automated growing beds for the crops of sugar beet, chard and lilac. For this purpose, a commercial planting robot, which has been designed for semi-automated seeding, irrigation and weed suppression, will be extended to a multisensory and fully automated system. Machine learning methods are used to develop a model from a suitable set of training data that is capable of performing classification tasks completely autonomously.
2024-08-14 16:10:52
The visionary goal of the PRo-MAPPER project proposal includes the robotic control
of the multi-sensor system, automated data acquisition coupled with AI-based image
analysis based on an established data set, needs-based application (intervention) with
plasma/plasma water and automated monitoring of the further course of the disease in
a closed control system. Each project partner was able to ensure that the separate com-
ponents such as robotic control of the bed, fully automated data collection, AI-supported
evaluation and monitoring of disease progression as well as full usability were fulfilled
and that occupational safety measures were taken into account. Furthermore, parame-
ter sets for the process safety of the plasma application were determined and proof of
the fundamentally microbicidal effect of PAL on selected phytopathogens was provided.
The AI-supported raised bed automation developed in the project
Rural development 2014-2020 for Operational Groups (in the sense of Art 56 of Reg.1305/2013)
HAWK Hochschule für angewandte Wissenschaft und Kunst Hildesheim/Holzminden/Göttingen, Fakultät Ingenieurwissenschaften und Gesundheit Lehrstuhl Robot
Von-Ossietzky-Straße 99
37085 Göttingen
Phone: 0551/3705266
Email: thomas.linkugel@hawk.de
2021
completed
481,054
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