Many decision support tools, based on artificial intelligence methods and relying on Big Data tools, are currently under development.
For example, we can cite a tool for the early detection of disease (flavescence dorée) using AI techniques (Chouette company) or a virtual wine shop service (Matcha company). The major issue for the development of this type of solution remains data.
The wine-growing environment is in the midst of a technological transition and many players in the sector need to benefit from new advances to meet challenges such as adaptation to climate change or the reduction of inputs.
To achieve this goal, it is crucial to be able to gather data and make them accessible to wider communities in a not complex or redundant way, but this is a real issue and a fundamental step for the development of all current and future intelligent tools.