Tag: Crowd Analyser
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Follow-up to study with mobile low-cost 3D camera crop height measurements
The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version: The updated citation is: Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.
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Mobile low-cost 3D camera maize crop height measurements under field conditions
Maps of the spatial distribution of crop heights can strongly support agriculture in terms of efficiency and yield optimization. Recently published results of experiments of the 3D Spatial Data Processing research group describe an approach to easily extend regular agricultural machines with low-cost sensors for capturing crop heights while the machine is in the field.…
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cfp: VGI-Analytics 2017 Workshop @ AGILE Conference Wageningen
cfp: VGI-Analytics 2017 Volunteered Geographic Information (VGI): Integration, ANALYsis, applICationS Tuesday, 9th May 2017, Wageningen University, The Netherlands at AGILE 2017 VGI-Analytics 2017 is the 4th workshop in a series of AGILE pre-conference workshops Volunteered Geographic Information (VGI) and social media data have become part of our everyday lives over the past few years. Whereas…
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Results of study “Direct derivation of maize plant and crop height from low-cost time-of-flight camera measurements” published
In agriculture, information about the spatial distribution of crop height is valuable for applications such as biomass and yield estimation, or increasing field work efficiency in terms of fertilizing, applying pesticides, irrigation, etc. Established methods for capturing crop height often comprise restrictions in terms of cost and time efficiency, flexibility, and temporal and spatial resolution…
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New publication: ‘Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites.’
The results of a study dealing with photogrammetric 3D geodata of mass wasting sites conducted at the GIScience were considered to be worth publishing in the Journal of Applied Remote Sensing: ‘Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites.‘ Three-dimensional (3D) geodata of mass…