To reduce cracking in fruits, CrackSense will utilise experimental plots with varied cracking intensities that will provide the scientific infrastructure for application 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.