Digital holography and AI could support targeted vineyard disease prevention

Uncertainty in preventive decisions

Direct protection against downy and powdery mildews in vineyards relies on preventive fungicide applications. Growers must therefore decide whether to spray before an infection event occurs. These decisions are currently supported mainly by forecasting models driven by weather predictions.

The process is inherently uncertain. Some treatments are later found to have been unnecessary when the conditions that actually occurred can be reviewed. The difficulty is that this information becomes available only retrospectively, after an application has already taken place. The study starts from the premise that growers’ decisions could benefit from an additional and more direct source of biological information.

Detecting spores with holography and AI

The research explores the use of an advanced spore-detection device in vineyards. The system applies digital holography and artificial intelligence, with the aim of improving how preventive treatments against downy and powdery mildews are targeted.

Information about the presence of spores could allow growers to consider evidence beyond the risk estimates generated from weather forecasts alone. Based on the study description, the approach would not necessarily replace existing forecasting models. Instead, it could provide a complementary data source for decisions about whether and when a fungicide intervention is warranted.

The material provided does not explain the device’s sampling process, the artificial intelligence model, or how holographic observations are converted into actionable information. Those technical details should therefore not be inferred from the available summary.

Reducing unnecessary applications

The central objective is to target fungicide use more precisely and reduce treatments that would later prove unnecessary. Such a system could support better-timed plant-protection decisions while retaining a preventive focus on two major vineyard diseases.

However, the available summary does not report the device’s detection accuracy, the location or duration of the trials, or the number of applications avoided. It also provides no comparative results showing how decisions supported by spore detection performed against decisions based only on weather-driven forecasts. Consequently, no conclusion can yet be drawn from the supplied information about the technology’s practical effectiveness, economic implications, or readiness for routine vineyard deployment.

The original study was published by Frontiers in Plant Science.