An AI-driven image processing technique to simplify the pollen measurement in common ragweed (Ambrosia artemisiifolia L.)
  • Metaadatok
Tartalom: https://real.mtak.hu/231958/
Archívum: REAL
Gyűjtemény: Status = Published
Subject = Q Science / természettudomány: QK Botany / növénytan
Subject = S Agriculture / mezőgazdaság: S1 Agriculture (General) / mezőgazdaság általában
Type = Article
Subject = Q Science / természettudomány: QA Mathematics / matematika: QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
Cím:
An AI-driven image processing technique to simplify the pollen measurement in common ragweed (Ambrosia artemisiifolia L.)
Létrehozó:
Scherman, Jakab Máté
Horváthné Petróczy, Marietta
Koósné, Szathmáry Erzsébet
Markó, Gábor
Dátum:
2025
Téma:
QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
QK Botany / növénytan
S1 Agriculture (General) / mezőgazdaság általában
Tartalmi leírás:
Ambrosia artemisiifolia (common ragweed) is an invasive weed species that significantly impacts agriculture and public health. This study aimed to develop an automated AI-based object detection model using our annotated image recognition dataset for accurate pollen size measurement, focusing on repeatability and variability in pollen size among individuals with distinct morphological characteristics. The model can effectively streamline the traditionally labour-intensive process, achieving rapid, accurate data collection. Roboflow-based image analysis takes only milliseconds, which is significantly faster than traditional approaches, and a high repeatability index demonstrates a valid methodology for pollen analysis. The study suggests a relationship between pollen size variability and plant morphology, suggesting possible trade-offs between growth and reproduction or showing habitat-specific adaptations. Results may create valuable opportunities for plant biology or ecology, for instance, further investigation of plant-pathogen interactions and public health research. This innovative method represents a step forward in efficient pollen analysis and its integration into multidisciplinary studies.
Nyelv:
angol
Típus:
Article
PeerReviewed
info:eu-repo/semantics/article
Formátum:
text
Azonosító:
Scherman, Jakab Máté and Horváthné Petróczy, Marietta and Koósné, Szathmáry Erzsébet and Markó, Gábor (2025) An AI-driven image processing technique to simplify the pollen measurement in common ragweed (Ambrosia artemisiifolia L.). GEORGIKON FOR AGRICULTURE: A MULTIDISCIPLINARY JOURNAL IN AGRICULTURAL SCIENCES, 29 (Sup 1). pp. 41-48. ISSN 0239-1260
Kapcsolat:
MTMT:35734683 10.70809/6570
Létrehozó:
cc_by_nc_nd