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 …

Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

Abstract Machine learning (ML) along with high volume of satellite images offers an
alternative to agronomists in crop yield predictions for decision support systems. This …

Soil moisture (SM) is an essential parameter for crop growth and development, and temporal
and spatial variation in SM in agricultural fields varies by crop type due to corresponding …

Wine grapes need frequent monitoring to achieve high yields and quality. Non-destructive
methods, such as proximal and remote sensing, are commonly used to estimate crop yield …

In Morocco, monitoring and estimation of wheat yield at the regional and national scales are
critical issues for national food security. The recent Sentinel-2 imagery offers potential for …

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 …

Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …

The potential of precision viticulture has been highlighted since the first studies performed in
the context of viticulture, but especially in the last decade there have been excellent results …