Version 1
: Received: 6 September 2024 / Approved: 6 September 2024 / Online: 9 September 2024 (08:05:53 CEST)
How to cite:
Izquierdo-Bueno, I.; Moraga, J.; Cantoral, J. M.; Carbú, M.; Garrido, C.; González-Rodríguez, V. E. Smart Viniculture: Applying AI for Improved Winemaking and Risk Management. Preprints2024, 2024090580. https://doi.org/10.20944/preprints202409.0580.v1
Izquierdo-Bueno, I.; Moraga, J.; Cantoral, J. M.; Carbú, M.; Garrido, C.; González-Rodríguez, V. E. Smart Viniculture: Applying AI for Improved Winemaking and Risk Management. Preprints 2024, 2024090580. https://doi.org/10.20944/preprints202409.0580.v1
Izquierdo-Bueno, I.; Moraga, J.; Cantoral, J. M.; Carbú, M.; Garrido, C.; González-Rodríguez, V. E. Smart Viniculture: Applying AI for Improved Winemaking and Risk Management. Preprints2024, 2024090580. https://doi.org/10.20944/preprints202409.0580.v1
APA Style
Izquierdo-Bueno, I., Moraga, J., Cantoral, J. M., Carbú, M., Garrido, C., & González-Rodríguez, V. E. (2024). Smart Viniculture: Applying AI for Improved Winemaking and Risk Management. Preprints. https://doi.org/10.20944/preprints202409.0580.v1
Chicago/Turabian Style
Izquierdo-Bueno, I., Carlos Garrido and Victoria E. González-Rodríguez. 2024 "Smart Viniculture: Applying AI for Improved Winemaking and Risk Management" Preprints. https://doi.org/10.20944/preprints202409.0580.v1
Abstract
This review explores the transformative role of artificial intelligence (AI) in the entire winemaking process, from viticulture to bottling, with a particular focus on enhancing food safety and traceability. It discusses AI’s applications in optimizing grape cultivation, fermentation, bottling, and quality control, while emphasizing its critical role in managing microbiological risks such as mycotoxins. The review aims to show how AI technologies not only refine operational efficiencies but also raise safety standards and ensure traceability from vineyard to consumer. Challenges in AI implementation and future directions for integrating more advanced AI solutions into the winemaking industry will also be discussed, providing a comprehensive overview of AI's potential to revolutionize traditional practices.
Keywords
Artificial Intelligence; Precision Viticulture; Disease Prediction Models; Drone Technology; Automated Harvesting; Water and Nutrient Management; Sustainable Winemaking; Smart Agriculture; Pest Control; Data-Driven Decision Making
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
