Introduction This use case highlights the integration of advanced sensor technologies, real-time monitoring systems, and data-driven modelling approaches to optimize the storage conditions for apples. The goal is to improve existing storage practices by precisely controlling environmental factors such as temperature, humidity, and gas composition, in order to minimise energy consumption, extend shelf life, maintain fruit quality, and reduce post-harvest losses. Methodologies This use case involves the development of innovative methods for continuous, non-invasive monitoring of apple storage environments using smart sensor networks and IoT-enabled infrastructure. Collected data will be analysed using physical and predictive models, as well as machine-learning techniques, to assess storage dynamics and identify optimal control strategies. Output A digital twin of the storage facility will be developed to simulate, monitor, and optimize energy consumption in real time. Impact This virtual model will support predictive control and enhance responsiveness to environmental changes, offering a scalable and commercially viable solution without the need for structural modifications. Additionally, the generated data, methods, and standardized protocols will be shared with industry partners and international stakeholders to promote harmonized quality standards, improve storage efficiency, and support the transition towards more sustainable and resource- efficient post-harvest handling systems. What I can offer Cold storage real-time environmental data and apple status to support an efficient and optimized cold system control. What I need Cold storage partners, electronics, digital platform, and sensors experts.

Source: Annual AgData Use Case Summit 2026 booklet.