Tag: agriculture
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Estimating trade-offs of land use at global scale
Land use decision involve trade-off with respect to the ecosystem service produced by the different land use systems. Agricultural use versus natural ecosystems is the main alternative for which trade-offs need to be estimated. Given the varying climatic and soil conditions this trade-off differs in space. Therefore, it is essential how agricultural land use is…
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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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Invitation: Colloquium Talk by Dr. Yingwei Yan on Using User-Generated Content for Agricultural Pest Management
We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, January 16, on agricultural pest management solutions based on pest observations from farmers. Dr. Yingwei Yan reports on how sensemaking algorithms which can be used to evaluate this kind of volunteered geographic information, and to make forecasts of pest infestations provided…
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Invitation: Colloquium Talk by Dr. Thomas Jarmer on Using Spectroscopy and hyperspectral imagery for the Assessment of Surface Properties
We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, December 19, about the use of remote sensing techniques for assessing soil and crop properties for applications in agriculture. Dr. Thomas Jarmer combines quantitative field measurements with remote sensing imagery to achieve not only a qualitative, but a quantitative assessment…
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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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LiDAR Research Group maps harvest residues of winter barley for density analysis
Researchers of the GIScience group of the Institute of Geography of the University of Heidelberg, the Institute for Geoinformatics and Remote Sensing of the University of Osnabrueck and the Federal Research Centre for Cultivated Plants of the Julius-Kühn-Institut acquired a highly accurate 3D point cloud of harvest residues of winter barley in Brunswick, Germany. In…
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LiDAR Research Group completes multitemporal multisensor data for boosting quality of plant growth models
On 19th of June, a multitemporal data set of agricultural plants was completed by researchers of the Chair of GIScience‘s LiDAR Research Group in the course of the projects Hyland and ESOB. A field of several grain varieties and fertilization quantities in maximum growth stage was captured in 3D using a terrestrial laser scanner (TLS).…