One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Precision viticulture (PV) aims to optimize vineyard management, reducing the use of
resources, the environmental impact and maximizing the yield and quality of the production …

During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …

Yield maps provide a detailed account of crop production and potential revenue of a farm.
This level of details enables a range of possibilities from improving input management …

In the last decade there has been an exponential growth of research activity on the
identification of correlations between vegetational indices elaborated by UAV imagery and …

Due to differences in planting environment, color, shape, size, and compactness, accurate
detection of grape clusters is very difficult. Herein, a real-time detection method for grape …

Purpose—knowing in advance vineyard yield is a critical success factor so growers and
winemakers can achieve the best balance between vegetative and reproductive growth. It is …

Grapevine yield is defined as the quantity of harvest, expressed as either grape mass or
wine volumeunits, which has been collected per surface unit are and per crop cycle. The …

In this study, leaves, bunches and fruits of fifty grape varieties were classified using deep
learning techniques using ampelographic features. A new and unique CNN model has been …