Phenology and yield
Pollen monitoring helps compare seasons, study alternate bearing and relate flowering to yield beyond a single plot.
Other uses. Consulta pronòstics modelitzats amb fonts, aprèn aerobiologia i explora calendaris, xarxes i projectes sense confondre predicció i observació.
In wind-pollinated crops such as olive, airborne pollen summarises flowering intensity across large areas. Combined with phenology, weather and historical production, it helps build early harvest estimates for better-informed planning.
REAL-WORLD CASE · OLIVEPredicción OlivarDiscover PheMPOlive and its early, sustainable harvest forecasting platform ↗The pollen signal integrates flowering across many plots and complements field phenology visits.
Temperature, rain, humidity and extreme events shape flowering, dispersal and fruit set.
Models combine the aerobiological signal with crop series to update estimates before harvest.
An early forecast can support staffing, mill capacity, storage and marketing decisions.
Pollen monitoring helps compare seasons, study alternate bearing and relate flowering to yield beyond a single plot.
Aeromycology tracks plant-pathogenic fungal spores. Combined with weather and field surveillance, it can support warnings and better-targeted treatments.
Long time series reveal shifts in seasonality, species expansion, land use and vegetation responses to climate.