CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
Fruit and fruit cluster T data as input for deep learning for wetness prediction and mechanistic modelling
Measuring uncertainty considering spatial distribution of fruit T and free water on the fruit surface (s’ouvre dans une nouvelle fenêtre)Benchmarking the sensors system and output on T distribution per fruit and fruit cluster. The measuring uncertainty considering spatial distribution of fruit T and free water on the fruit surface is accessed based on training, (cross) validation, and test data sets.
Open access database for fruit temperature (s’ouvre dans une nouvelle fenêtre)Climate change relevant data in fruit production are open access and further monitored in experimental fields
The main reference for communication activities, with guidelines for partners to disseminate and exploit results. Also includes the description of project's website and an action plan and reports on the planned liaisons with complementary AI and Sensing Data initiatives as well as the AoD.First iteration of the deliverable.
Dissemination, exploitation and communication plan II (s’ouvre dans une nouvelle fenêtre)The main reference for communication activities, with guidelines for partners to disseminate and exploit results. Also includes an action plan and reports on the planned liaisons with complementary AI and Sensing Data initiatives as well as the AoD.Second iteration of the deliverable.
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.
Upscaling sensing tools I (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)Calibration protocols are usable by partners doing experiments
Environmental and horticultural examiners associated with cracking I (s’ouvre dans une nouvelle fenêtre)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 (s’ouvre dans une nouvelle fenêtre)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.
Publications
Auteurs:
apia-Zapata, N.; Winkler, A.; Zude-Sasse, M.
Publié dans:
Horticulturae, 2024, ISSN 2311-7524
Éditeur:
MDPI
DOI:
10.3390/horticulturae10070757
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