High throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies

Projektinformationen

CrackSense

ID Finanzhilfevereinbarung: 101086300

DOI

10.3030/101086300

EK-Unterschriftsdatum 9 November 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2026

Finanziert unter

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Gesamtkosten

€ 7 499 292,49

EU-Beitrag

€ 7 499 292,49

Koordiniert durch

THE AGRICULTURAL RESEARCH ORGANISATION OF ISRAEL - THE VOLCANI CENTRE
Israel

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Data sets, microdata, etc (3)

Preliminary fruit T data

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

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

Climate change relevant data in fruit production are open access and further monitored in experimental fields

Websites, patent fillings, videos etc. (2)

Dissemination, exploitation and communication plan I

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

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.

Documents, reports (5)

Policy Briefs and EIP-AGRI Practices abstracts I

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

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

Calibration protocols are usable by partners doing experiments

Environmental and horticultural examiners associated with cracking I

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

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.

Veröffentlichungen

Peer reviewed articles (1)

Occurrence of Wetness on the Fruit Surface Modeled Using Spatio-Temporal Temperature Data from Sweet Cherry Tree Canopies

Autoren: apia-Zapata, N.; Winkler, A.; Zude-Sasse, M.
Veröffentlicht in: Horticulturae, 2024, ISSN 2311-7524
Herausgeber: MDPI
DOI: 10.3390/horticulturae10070757