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Detection of weed infestation of agricultural land with remote sensing methods <<

Request for Proposal Bundesministerium für Ernärung und Landwirtschaft
Supporting Organisation Bundesamt für Landwirtschaft und Ernährung (BLE)
HFT project director Prof. Dr.-Ing.  Michael Hahn
Project Staff M.Sc. Avishek Dutta, Dr. habil. Johannes Joachim Engels
Project partners Universität Hohenheim, GerMAP GmbH, Proplanta GmbH & Co. KG
Duration 01.06.2016 - 31.10.2018
Project description For an improved weed control which is adapted to the current situation in the field, the farmer needs information about the weed infestation to specifically adjust the management of weed control. In the project REMWEED tools are developed to determine and localize the weed infestation. For a site-specific control the knowledge about the spatial distribution of weed densities it is essential to derive application maps for an adaptable and effective weed control management. Processes are developed to capture plant parameters with remote sensing images and methods. Full-area capture in 3D aims at high ground resolution and precise geocoded measurements. UAS (unmanned aerial systems) are used to derive georeferenced images of complete fields. Further investigations focus on the role of additional information, such as on the phenological timing and stages of development, for the specification of weed infestation situations. Parameters will be derived from multi-temporal measurements during the vegetation period, first, to identify the weed infestation and effectiveness of control measures, second, to provide criteria for an optimised planning of measurement campaigns.