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Tag Archive 'precision agriculture'

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.
Based [...]

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Yesterday, our colleague Dr. Martin Hämmerle defended his PhD thesis with great success. We would like to congratulate him - with our sincere thanks for his hard work and amazing research the last years.
Martin is an expert on 3D geodata (with focus on 3D point clouds from LiDAR and photogrammetry), methods for 3D processing and [...]

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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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In order to optimize agricultural processes, near real-time spatial information about in-field variations, such as crop height development (i.e., changes over time), is indispensable. This development can be captured with a LiDAR system. However, its applicability in precision agriculture is often hindered due to high costs and unstandardized processing methods.
In [...]

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The Ministry of Science, Research and Arts, Baden-Wuerttemberg has funded a new research project called 4DEMON, which will approach the research front of 4D Near Real-Time Environmental Monitoring.
Our physical environment underlies permanent changes in space and time with strongly varying triggers, frequencies, magnitudes and also consequences to humans. Monitoring of Earth surface processes [...]

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The new paper “Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture” has just been finally released in the ISPRS Journal of Photogrammetry and Remote Sensing.
http://dx.doi.org/10.1016/j.isprsjprs.2015.03.003
Citation
Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2015): Comparative classification analysis of post-harvest growth detection from terrestrial [...]

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We are happy to announce that a new paper with the title Effects of Reduced Terrestrial LiDAR Point Density on High-Resolution Grain Crop Surface Models in Precision Agriculture has been published in the special issue Agriculture and Forestry: Sensors, Technologies and Procedures in the journal Sensors:
3D geodata play an increasingly important role in [...]

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