Springer Science+Business Media B.V. / OpenSource Software / Robert Bosch GmbH / Amazonen-Werke H. Dreyer GmbH&Co.KG / NORTON / Dreyer GmbH&Co.KG / BLDC / /
Country
Germany / /
Facility
University of Applied Sciences Osnabrueck / University of Applied Sciences Osnabrueck Amazonen-Werke H. / plant Fig / University of Applied Sciences Osnabrueck Abstract The / /
IndustryTerm
web interface / robotic weed control systems / web-based human-machine interaction / data persistence infrastructure / web-based communication technologies / software framework / web-based approach / image processing / Mechanical weeding tool / comfortable web interface / camera chip / image processing algorithms / sensor systems / Wireless Networks / energy savings / digital image processing / mechanic weed control tool / wireless access point / /
NaturalFeature
mount Apps / /
Organization
Faculty of Engineering and Computer Science / Faculty of Agricultural Sciences / Federal Ministry of Food / Leibniz-Institut für Agrartechnik Potsdam-Bornim e / Federal Office for Agriculture and Food / Parliament of the Federal Republic of Germany / University of Applied Sciences Osnabrueck / Camera and Lighting Unit / University of Applied Sciences Osnabrueck Amazonen-Werke H. / /
Person
Eugen Ulmer / /
Position
remote worker at the web interface / human remote worker / mechanic / specially sharpened head / human worker / remote worker / Human machine interaction Intra-row weed treatment Remote worker / strobe controller / /
ProgrammingLanguage
XML / /
PublishedMedium
Machine Learning / /
Technology
Ethernet / XML / web-based communication technologies / MEMS / wireless access / GPS / machine learning / operating system / image processing algorithms / image processing / camera chip / /
4th International Conference on Machine Control & Guidance, March 19-20, 2014 RemoteFarming.1: Human-machine interaction for a fieldrobot-based weed control application in organic farming Fabian Sellmann1, Waldemar Bang