In a world grappling with a growing population and shifting climate patterns, ensuring safe and sustainable food production has emerged as a paramount challenge. Extreme climate events, such as late spring frosts (LSFs), have a detrimental impact on productivity, plant growth, and consequently, crop yield. Similarly, viticulture is intricately linked to weather and climate conditions. Frost risk can be a significant issue in viticulture, potentially causing major economic damages with yield losses affecting vast areas or even entire territories from a single event. Chilling temperatures (ranging from 0 to 15 °C) and freezing conditions (below 0 °C) present unique challenges for vineyards, occurring when temperatures deviate from their usual range. These temperature fluctuations can significantly impair viticulture, affecting grapevines and diminishing both the quality and quantity of the grape harvest. In recent years, frost events have become more frequent and severe while winegrowers use various techniques to combat frost. This article aims to summarize the negative effects of extreme frost conditions in a changing climate on grapes and wine production and provide novel solutions and adaptation strategies, including sensing analysis tools, to help vineyards mitigate these impacts and ensure sustainable production.

Effective data governance and management are necessary but challenging prerequisites for creating value from data assets. Findability, accessibility, interoperability, and reusability are guiding principles for data owners in managing and archiving datasets, known as the FAIR Principles. Dataspaces provide an infrastructure for heterogeneous, multi-source data integration and cross-organizational data sharing that would benefit from FAIR compliance. In this paper, we propose semantics as an approach to ensure data FAIRness, enabling machine-aided discovery and reuse of data in different formats and structures.
We conduct a systematic literature review to translate the overarching principles into ten concrete methods that can be implemented using semantic technologies. In addition, we analyze three mature dataspace initiatives for their adherence to the FAIR Principles and describe their specific implementation. In summary, we argue that semantics provide a common and infrastructure-independent foundation for data management in emerging dataspaces.

Climate change is one of the major environmental and socio-economic challenges facing sustainable wine production. Saint Emilion, a world-renowned wine-growing region, is witnessing a series of weather events related to frost waves, hailstorms, rising temperatures, and shifts in rainfall patterns. To address these challenges, the European Commission funded the AgriDataValue project, which seeks to implement natural solutions based on fine-scale modeling of climatic variables. Saint Emilion was chosen as the study area due to the presence of existing on-field solutions adopted by winegrowers, supported by the Saint-Emilion Wine Council, to mitigate climate change effects. These solutions include improving soil health and fertility using grass strips, enhancing landscape features and hedge planting, and using a salt-dispersing balloon system to combat hailstorms.

The adoption of digital technologies in agriculture offers significant potential to enhance productivity, sustainability, and resilience. This paper presents initial insights derived from an ongoing study aimed at evaluating the challenges and opportunities for farmers in adopting data-driven solutions. During the initial phases, the study utilised an online workshop with 46 participants from various agri-stakeholder groups to conduct a comprehensive PESTLE analysis, exploring the political, economic, social, technological, legal, and environmental factors influencing the adoption of data-driven solutions in agriculture.