Shaomin Yang , Xingzhu Feng , Dandan Huang

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
Tree Genetics and Molecular Breeding, 2024, Vol. 14, No. 6   
Received: 17 Nov., 2024    Accepted: 20 Dec., 2024    Published: 31 Dec., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Precision viticulture, utilizing modern equipment and data-driven methods, provides a viable pathway to enhance yield, improve fruit quality, and achieve agricultural sustainability. This study summarizes the implementation process of precision viticulture technologies and analyzes their contributions to high yield and sustainability through case studies. The core technologies of precision viticulture include remote sensing and drones, sensor networks, Geographic Information Systems (GIS), and machine learning data analytics. Specific case studies demonstrate that a French winery significantly increased grape yield through precision irrigation; an Italian vineyard used AI to predict diseases and apply pesticides precisely, reducing chemical inputs; an Australian vineyard reduced irrigation water usage by 50% using sensor networks; and a California vineyard optimized harvest timing with remote sensing to enhance fruit sugar content. The study reveals that these technologies not only improve resource utilization efficiency but also reduce the use of fertilizers and pesticides, mitigate environmental impacts, and offer effective support for addressing climate change. Precision viticulture plays a vital role in achieving high yields and sustainability, providing practical references for the digital transformation of agriculture.

Grapes; Precision viticulture; High yield; Sustainable agriculture; Artificial intelligence