The objective of this research is to analyze the knowledge structure of the academic
literature indexed in the Core Collection of the Web of Science on automation in the wine …

Vine disease detection is considered one of the most crucial components in precision
viticulture. It serves as an input for several further modules, including mapping, automatic …

The scientific progress in artificial intelligence and robotics has enabled precision viticulture
to pursue sustainability and improve the final yield. For instance, monitoring the canopy …

The Thompson Seedless (Sultanina) seedless variety of grapes is an important crop in
Egypt, both for local consumption and export. In recent years, the H4 strain of this grape …

Accurately detecting and localizing vineyard disease detections are essential to reduce
production losses. A great variety of scientific work focuses on remote sensing methods …

This paper introduces a new real-time method based on a combination of kernel density
estimators and pyramid histogram of oriented gradients for identifying a point of interest …

Recent advances in machine learning and computer vision promoted a surge in the
development of AI-based approaches aimed at improving various agricultural tasks. In this …

The grapevines provide the production of grapes and grape leaves. Grape, which is the fruit
of the grapevines, is also widely used in making vinegar and alcohol. Grapevine leaves are …