Statistical distribution of airborne pollen grains

Gamma, Gaussian and logistic distribution models for airborne pollen grains and fungal spore season dynamics

The characteristics of a pollen season, such as timing and magnitude, depend on a number of factors such as the biology of the plant and environmental conditions. The main aim of this study was to develop mathematical models that explain dynamics in atmospheric concentrations of pollen and fungal spores recorded in Rzeszów (SE Poland) in 2000-2002. Plant taxa with different characteristics in t...

Airborne pollen grains in Bursa, Turkey, 1999-2000,.

In this study, pollen grains were sampled by using a Lanzoni trap (Lanzoni VPPS 2000) in atmosphere of Bursa in 1999 and 2000. During two years. a total of 13,991 pollen grains/m3 which belonged to 59 taxa and unidentified pollen grains were recorded. A total of 7.768 pollen grains were identified in 1999 and a total of 6.223 in 2000. From these taxa, 36 belong to arboreal and 23 taxa to non-ar...

An Electrostatic-Barrier-Forming Window that Captures Airborne Pollen Grains to Prevent Pollinosis

An electrostatic-barrier-forming window (EBW) was devised to capture airborne pollen, which can cause allergic pollinosis. The EBW consisted of three layers of insulated conductor wires (ICWs) and two voltage generators that supplied negative charges to the two outer ICW layers and a positive charge to the middle ICW layer. The ICWs generated an attractive force that captured pollen of the Japa...

Germination Schedules of Pollen Grains: Implications for Pollen Selection.

Pollen Grains Contour Analysis on Verification Approach

Earth’s biodiversity has been suffering the effects of human contamination, and as a result there are many species of plants and animals that are dying. Automatic recognition of pollen species by means of computer vision helps to locate specific species and through this identification, study all the diseases and predators which affect this specie, so biologist can improve methods to preserve th...