Precision viticulture (PV) represents a specialized branch of precision agriculture, focusing on the application of advanced technologies, such as recent advances in electronics, artificial intelligence (AI), and automation, to make informed decisions that improve land productivity and crop quality and optimize vineyard operations. Through real-time sensing, predictive analytics, and automated intervention, PV enhances both the efficiency and sustainability of grape production. By integrating predictive analytics into the field of viticulture, real-time monitoring, timely decision-making, and intervention are enabled, improving resource management efficiency while also improving grapevine yield and quality. This article provides an in-depth review of recent advances in PV, focusing on the role of AI-driven analytics, sensing, and automation in vineyard management. In addition, emerging trends and challenges in the field are presented, highlighting their potential to drive sustainable and high-efficiency agricultural practices.
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Passias et al. (2025) studied this question.
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