In the last few years, the agricultural field has undergone a digital transformation,
incorporating artificial intelligence systems to make good employment of the growing volume …

In an era marked by rapid global changes, the reinforcement and modernization of plant
health surveillance systems have become imperative. Sixty-five scientists present here a …

This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew
(Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable …

Grapevine (Vitis spp.) viral diseases cause substantial productivity and economic losses to
the viticulture industry. Existing disease detection methods are both costly and labour …

Grapevines (Vitis vinifera L.) are one of the most economically relevant crops worldwide, yet
they are highly vulnerable to various diseases, causing substantial economic losses for …

The effort to map terrestrial biodiversity, in recent years limited mostly to the use of
broadband multispectral remote sensing at decameter scales, can be greatly enhanced by …

Accurate and real-time monitoring of grapevine freezing tolerance is crucial for the
sustainability of the grape industry in cool climate viticultural regions. However, on-site data …

Grapevine downy mildew (GDM), caused by the oomycete Plasmopara viticola, can cause
100% yield loss and vine death under conducive conditions. High-resolution multispectral …

Identifying grape plant disease is very important to keep the vineyard healthy and make sure
we can grow good grapes. This study looks into using deep learning models like VGG16 …

Frequent fungicide applications are required to manage grapevine powdery mildew
(Erysiphe necator). However, this practice is costly and has led to widespread fungicide …