Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Global Climate Change01:50

Global Climate Change

24.3K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.3K
Pollination and Flower Structure02:40

Pollination and Flower Structure

64.0K
Flowers are the reproductive, seed-producing structures of angiosperms. Typically, flowers consist of sepals, petals, stamens, and carpels. Sepals and petals are the vegetative flower organs. Stamens and carpels are the reproductive organs.  
64.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Technology-enabled telerehabilitation for Parkinson's disease: a scoping review of digital rehabilitation systems, delivery architectures, and implementation challenges.

Journal of neuroengineering and rehabilitation·2026
Same author

The landscape of artificial intelligence in neurodegenerative diseases: a systematic review.

Communications medicine·2026
Same author

EAACI Guidelines on Environmental Science for Allergy and Asthma-Evidence-Based Recommendations for Prevention and Public Health Action to Mitigate the Impact of Pollen Exposure on Respiratory Allergy.

Allergy·2026
Same author

Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI.

International journal of medical informatics·2026
Same author

Low Risk Is Low Risk: iNAAN Post Hoc Analysis of Phenotypic Predictors of Penicillin Direct Oral Challenge Safety.

Allergy·2026
Same author

Analysis of adverse events following COVID-19 vaccination and infection: A retrospective, comparative cohort study using a claims database from Discovery Health, a managed care organisation in South Africa.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2026

Related Experiment Video

Updated: Jun 21, 2025

Collection and Identification of Pollen from Honey Bee Colonies
08:11

Collection and Identification of Pollen from Honey Bee Colonies

Published on: January 19, 2021

7.2K

Forecasting daily total pollen concentrations on a global scale.

László Makra1, Luca Coviello2,3, Andrea Gobbi4

  • 1Institute of Economics and Rural Development, Faculty of Agriculture, University of Szeged, Hódmezővásárhely, Hungary.

Allergy
|July 12, 2024
PubMed
Summary
This summary is machine-generated.

Climate change impacts pollen seasons. This study uses advanced models like CatBoost and deep learning to predict daily pollen concentrations up to 14 days in advance for 23 global cities, improving forecast accuracy.

Keywords:
allergyartificial intelligenceenvironmental variablesfeature importance clusterpollen forecast

More Related Videos

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana
07:07

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana

Published on: June 30, 2023

2.4K
A 3D Printed Pollen Trap for Bumble Bee Bombus Hive Entrances
07:19

A 3D Printed Pollen Trap for Bumble Bee Bombus Hive Entrances

Published on: July 9, 2020

5.3K

Related Experiment Videos

Last Updated: Jun 21, 2025

Collection and Identification of Pollen from Honey Bee Colonies
08:11

Collection and Identification of Pollen from Honey Bee Colonies

Published on: January 19, 2021

7.2K
Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana
07:07

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana

Published on: June 30, 2023

2.4K
A 3D Printed Pollen Trap for Bumble Bee Bombus Hive Entrances
07:19

A 3D Printed Pollen Trap for Bumble Bee Bombus Hive Entrances

Published on: July 9, 2020

5.3K

Area of Science:

  • Environmental Science
  • Data Science
  • Allergen Studies

Background:

  • Global climate change is altering floral phenology and aero-allergenic pollen patterns.
  • Predictive pollen forecasting requires enhancement due to climate uncertainty.

Purpose of the Study:

  • To develop and improve airborne pollen forecast accuracy.
  • To predict daily total pollen concentration up to 14 days in advance for 23 cities globally.

Main Methods:

  • Utilized CatBoost (CB) and deep learning (DL) models for pollen concentration prediction.
  • Incorporated projected environmental parameters, recent concentrations, and past/future environmental variables.

Main Results:

  • Achieved strong pollen forecast accuracy in Mexico City (R²(DL_7)≈.7) and Santiago (R²(DL_7)≈.8) for the 7th forecast day.
  • Identified key predictors: past pollen concentration, future/past 2m temperature, and past soil temperature at various depths.
  • Observed stable feature importance clusters for some cities (e.g., Cape Town) and variable importance for others (e.g., Sydney).

Conclusions:

  • New insights into ecological relationships and variable importance enhance pollen forecast models.
  • Understanding city-specific and forecast-day-specific variable importance is crucial for improving accuracy.