Results 171 to 180 of about 457,452 (356)

Integrated characterization of Greek fennel genotypes through morpho‐agronomical characteristics, yield components and phytochemical compounds

open access: yesJSFA reports, Volume 5, Issue 3, Page 91-103, March 2025.
Abstract Background Fennel (Foeniculum vulgare Mill.) is a widely cultivated vegetable and aromatic‐medicinal plant. In this research, field studies assessed 12 fennel genotypes of diverse origin, comprising 10 Greek accessions and two European commercial varieties, focusing on their morpho‐agronomical traits, phenolic compounds and antioxidant ...
Kalliopi I. Kadoglidou   +6 more
wiley   +1 more source

Exploring novel systemic biomarker approaches in grass‐pollen sublingual immunotherapy using omics [PDF]

open access: hybrid, 2020
Tomás Clive Barker‐Tejeda   +14 more
openalex   +1 more source

Effect of bio‐fertilization and edapho‐climatic conditions on chickpea nodulation, grain yields, and seed protein in a Mediterranean context: a meta‐analysis approach

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Chickpeas (Cicer arietinum L.) serve as a protein‐rich staple, particularly in Mediterranean countries, where they are often grown in marginal and water‐stressed areas. This meta‐analysis synthesized evidence from peer‐reviewed publications across Mediterranean countries to assess how chickpea rhizobial inoculation influences chickpea ...
Amira Hachana   +11 more
wiley   +1 more source

Concentration of pollen of Chenopodiaceae/Amaranthaceae plants in the air of selected Polish cities in 2020

open access: diamond, 2020
Krystyna Piotrowska-Weryszko   +12 more
openalex   +2 more sources

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig   +2 more
wiley   +1 more source

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos   +7 more
wiley   +1 more source

A Relationship between Birch Pollen Counts and Meteorological Factors in Sapporo

open access: diamond, 2014
Hideaki Shirasaki   +6 more
openalex   +2 more sources

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