SO1 Upscale sensing technologies to collect data at the fruit, tree and plot scales, to enable real-time monitoring of fruit cracking, estimation of yield loss, and assessment of risk of cracking incidence

SO2 Create agri-environmental datasets relevant to fruit cracking by combining and processing-at-the-source (edge computing) multi-source/multi-modal data collected through sensors used in agricultural production and Earth Observation data

SO3 Develop models and SDSSs to estimate the risk of cracking by integrating regional cracking incidence data with environmental and climatic data, and with data collected through sensors used in agricultural production and Earth Observation data

SO4 Upscale the sensing and analysis tools developed, to assess the risk of cracking incidence through piloting activities in a number of agricultural crops in a wide geographical region

SO5 Disseminate, communicate CrackSense results, develop business models and support policy maker in further development of digital and data technologies