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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.
Results and the Final report will be found here, as soon as the project is completed.
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
ongoing
481,054
DE915
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