Manual assessments of plant phenotypes in the field can be labor-intensive and inefficient.
The high-throughput field phenotyping systems and in particular robotic systems play an …

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 …

Agricultural applications such as yield prediction, precision agriculture and automated
harvesting need systems able to infer the crop state from low-cost sensing devices. Proximal …

Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation
in different environments. Information on physiology, architecture or biochemistry of plants …

The extraction of phenotypic traits is often very time and labour intensive. Especially the
investigation in viticulture is restricted to an on-site analysis due to the perennial nature of …

This research was conducted to examine the potential use of hyperspectral imaging for non-
destructive detection of Grapevine leafroll-associated virus 3 (GLRaV-3) during …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Abstract Development of high-throughput phenotyping technologies has progressed
considerably in the last 10 years. These technologies provide precise measurements of …

The necessity to adapt to climate change is even stronger for grapevine than for other crops,
because grape berry composition—a key determinant of fruit and wine quality, typicity and …

The number of berries is one of the most relevant yield components that drives grape
production in viticulture. The goal of this work was to estimate the number of actual berries …