Precision agriculture for wine production: A machine learning approach to link weather conditions and wine quality

Sustainable solutions for mitigating spring frost effects on grape and wine quality: facilitating digital transactions in the viniculture sector

“…However, it also faces modern challenges such as climate change and the need for sustainable practices, driving innovation and adaptation in the industry. [10][11][12] To achieve these goals, the adoption of Digital Agricultural Technologies (DATs) has become a key element of this transformative process, providing a forward-thinking perspective. Specically, DATs and the application of AI can revolutionize viniculture by enabling precision agriculture, improving grape and wine quality, promoting sustainability, and facilitating data-driven decisionmaking.…”