Pollen can be a critical forensic marker in cases where determining geographic origin is
important, including investigative leads, missing persons cases, and intelligence …

Background: Pollen are monitored in Europe by a network of about 400 pollen traps, all
operated manually. To date, automated pollen monitoring has only been feasible in areas …

The automation of fossil pollen analysis promises many advantages in handling large
numbers of samples with less resource allocation. However, automation is often obstructed …

In palynology, the visual classification of pollen grains from different species is a hard task
which is usually tackled by human operators using microscopes. Many industries, including …

Melissopalynology is an important analytical method to identify botanical origin of honey.
Pollen grain recognition is commonly performed by visual inspection by a trained person. An …

Airborne pollen monitoring has been an arduous task, making ecological applications and
allergy management virtually disconnected from everyday practice. Over the last decade …

A wine forecast model for one of the most arid wine regions of the Europe—Alentejo was
improved and tested for the period 1998–2014. During this period, Alentejo region had …

Automatic pollen images recognition is crucial for pollinosis symptoms prevention and
treatment. The problem of pollen recognition can be efficiently solved using deep learning …

In this review, we have focused on analytical methods for characterizing the geographical
and botanical origin of honey. We evaluated works concerning the methods most used in the …

Airborne pollen cause seasonal allergies and the number of people affected increases
yearly due to global warming and urbanization. Governmental pollen sensing stations are …