2026-06-01
Artificial intelligence is becoming an active part of Italian viticulture, with practical applications already being used in vineyards and wineries to improve decision-making, reduce inputs, and respond more effectively to climate-related challenges.
Attilio Scienza, one of Italy's best-known viticulture experts, said the technology is no longer a distant prospect but a working tool that helps producers better understand what is happening in the field. By combining climate, agronomic, and production data, AI systems can create precision maps and predictive models that support vineyard management.
As climate change forces growers to react more quickly to increasingly unpredictable conditions, these technologies are gaining attention because they allow closer monitoring of vine health and help identify potential problems before they become visible. In the vineyard, AI can process large volumes of information collected through sensors, weather stations, satellites, drones, and cameras installed among the rows. The resulting analysis enables technicians to detect water stress, variations in vine vigor, and disease risks, helping determine where irrigation, treatments, or harvesting should be prioritized.
The approach follows the principles of precision viticulture, replacing broad interventions with targeted actions. This can lead to more efficient use of water, crop protection products, and energy while improving the management of vineyard blocks that may differ significantly within the same estate. According to Scienza, the main value of AI is not simply automation but its ability to interpret an amount of data that has exceeded what humans can directly analyze.
Artificial intelligence is also being incorporated into grapevine breeding and genetic improvement programs. Researchers are using algorithms to evaluate the characteristics of grape varieties and breeding crosses in order to identify plants with greater resistance to disease, heat, and drought. In this area, AI can accelerate processes that previously depended on years of manual observation. For a wine sector facing increasingly irregular growing seasons, that capability could become increasingly important.
Inside the winery, AI applications are taking a different but equally significant role. AI-based systems are being used to monitor fermentations, predict potential deviations during the winemaking process, and adjust production parameters with greater precision. They are also helping wineries improve internal logistics and maintain traceability from the vineyard through bottling. In some cases, algorithms compare historical vintages with current harvest conditions to support decisions related to harvest timing and winemaking styles.
The expansion of these technologies is not limited to software. Drones and robotic systems are becoming part of the same transformation by increasing observation and operational capacity in the field. Drones provide frequent and detailed aerial imagery, while robots can perform repetitive tasks or work in areas where labor shortages are becoming a challenge. Together, these tools are contributing to a more digitalized agricultural model, although adoption remains uneven between large wine groups and smaller family-owned operations.
Industry observers note that the next challenge is as much cultural as it is technological. Successful adoption requires investment, reliable connectivity in rural areas, and professionals trained in data science, digital agronomy, and engineering applied to wine production. Without those elements, many wineries may continue to view artificial intelligence as an external innovation rather than an integral part of daily operations.