Grapevine yield and fruit quality are two major drivers of input allocation and, ultimately, revenue for grape producers. Because yield and fruit quality vary substantially from year-to-year and within a single block, opportunities exist for optimization via precision management activities that could lead to more profitable and sustainable grape production. Here, we review recent advances in the techniques and technology used to measure, estimate, and forecast grapevine yield and fruit quality. First, we discuss direct “measurement” of yield and quality (i.e. ground-truth data generation), with an emphasis on potential for scalability and automation. Second, we discuss technology and techniques that do not directly measure yield and quality, but use correlated measurements for their estimation.

As greenhouse gas emissions continue to rise, climate projections indicate an increased likelihood of heat waves and drier conditions in canada. these changes pose significant challenges to grapevine cultivation, particularly during critical growth stages such as new plantings. interspecific hybrid grape varieties, developed through different breeding programs that combine vitis vinifera with more robust species like v. riparia and v. labrusca varieties, are often touted for their potential resilience to environmental stress.

Aim: Several plant-based indicators of vine N status are reported in the literature. Among these, yeast assimilable nitrogen in grape must (YAN) and total N concentration of petiole and leaf blades are considered to be reliable indicators and so is the chlorophyll index, measured with a device called N-tester. The N-tester index is used to measure the intensity of the green colour of the leaf blade, and therefore to estimate its chlorophyll content.

Disease-resistant hybrid grape cultivars (DRHGCs) are hybrids of Vitis vinifera varieties with other Vitis species, and they are endowed with greater resistance to specific fungal diseases, enabling a potential reduction in the application of pesticides in the vineyard.

AIM: The refractive index is a basic optical property of materials and a key tool for the determination of major components in musts, such as sugars