Upscaling sensing tools II
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Upscaling sensing tools from tree to plot levels, results from combining sensing technologies and digital data. At the tree level, UAV-installed, LiDAR, RGB, TIR, MS and HyperSpectral (HS) devices, in combination with trunk and fruit dendrometers would allow assessing tree health and correlating it to cracking intensity. At the plot level, UAV remote sensing, as above, will be combined with satellite earth observation data of plot environment (T, RH and radiation), soil characteristics and plot geospatial data (elevation, slope).Second iteration of the deliverable.
Policy Briefs and EIP-AGRI Practices abstracts I
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This deliverable summarizes two key outputs produced by the project. Policy Briefs will be created to inform policy makers at EU and MS level of how the insights generated in the CrackSense project can support key objectives, such as the CAP implementation, EU Mission on Soils or the European Green Deal. EIP-Agri abstracts will be created to disseminate key insights among the agricultural communities, ensuring wide dissemination of developed practices.First iteration of the deliverable.
Data for SDSS I
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Data at all levels, tree, plot and regional will be generated for generating SDSS (WP4) for reducing cracking incidence levels in all crops. The data will be collected by the field sensing devices and other auxiliary sources.First iteration of the deliverable.
Upscaling sensing tools I
(se abrirá en una nueva ventana)
Upscaling sensing tools from tree to plot levels, results from combining sensing technologies and digital data. At the tree level, UAV-installed, LiDAR, RGB, TIR, MS and HyperSpectral (HS) devices, in combination with trunk and fruit dendrometers would allow assessing tree health and correlating it to cracking intensity. At the plot level, UAV remote sensing, as above, will be combined with satellite earth observation data of plot environment (T, RH and radiation), soil characteristics and plot geospatial data (elevation, slope).First iteration of the deliverable.
Protocol to fuse T and geometric information
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Calibration protocols are usable by partners doing experiments
Environmental and horticultural examiners associated with cracking I
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Local and regional environmental data, including climatic variables (temp/RH), and soil parameters (moisture, texture), will be associated with cracking intensity, and with the efficiency of known horticultural practices to alter cracking intensity. This would enable analyzing the effect of environmental variables on the efficiency of cracking-mitigating practices. Moreover, this would also enable, in the long run, to adjust treatments to specific local environmental conditions.First iteration of the deliverable.
Environmental and horticultural examiners associated with cracking II
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Local and regional environmental data, including climatic variables (temp/RH), and soil parameters (moisture, texture), will be associated with cracking intensity, and with the efficiency of known horticultural practices to alter cracking intensity. This would enable analyzing the effect of environmental variables on the efficiency of cracking-mitigating practices. Moreover, this would also enable, in the long run, to adjust treatments to specific local environmental conditions.Second iteration of the deliverable.
