It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

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 …

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 …

Automating grapevine growth monitoring, spraying, leaf thinning and harvesting tasks, as
well as improving yield estimation and plant phenotyping, requires reliable methods for …

Yield prediction is a key factor to optimize vineyard management and achieve the desired
grape quality. Classical yield estimation methods, which consist of manual sampling within …

Quality rating is currently accomplished by non-destructive and subjective sensory
evaluation or by objective and destructive analytical techniques. There is a strong need of …

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 …

Estimating vineyard yield in advance is essential for planning and regulatory purposes at the
regional level, with growing importance in a long-term scenario of perceived climate change …

In agriculture, crop monitoring and plant phenotyping are mainly manually measured.
However, this practice gathers phenotyping information at a lower rate than genotyping …

Highlights•The segmentation methodology is capable of working under field conditions.•The
algorithm properly analyses images taken with a low-cost device.•A novel set of descriptors …