Demonstrations
To reduce cracking in fruits, CrackSense will utilize experimental plots with varied cracking intensities that will provide the scientific infrastructure for utilization and upscaling of proximal and remote sensing technologies. Combining sensor data with agri-enviromental variables provides the core technology for smart farming, cracking detection and prediction. Data collected at the fruit-, plot- and region-levels will be transmitted and pre-processed by various means, including edge computing. Databases, constructed on a WEB platforms, will be used for generation of models to predict year-, plot- and region-dependent cracking risks. The various sensing tools and the models will be tested and upscaled in piloting activities, in large commercial orchards with or without successful treatments to mitigate cracking intensity, to be in variable climatic regions.
CrackSense Consortium Wraps Up Successful First Year: Highlights from Corsica Meeting
Taking place at the Corsican INRAE facility in San Giuliano, the three-day symposium organized by the CrackSense consortium from February 26th to 28th represent ...
Summer vine: Experiments on table grapes started in Lachish, Israel
The initial phase of the CrackSense project has been started in Lachish, a central region of Israel, conducted by the Volcani Institute in collaboration with Ta ...
CrackSense in Motion – First Workshop Dedicated to Hardware Introduction and Operation in Potsdam, Germany
CrackSense has initiated first Work Package 2 gathering throughout 15th and 16th of May 2023 in Potsdam, Germany, where partners involved in WP2 convened in liv ...