Logo des Repositoriums
 
Konferenzbeitrag

Blue Apple – an algorithm to realize agricultural classification under difficult light and color situations

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2023

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly dependent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch content of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.

Beschreibung

Credner, Jonas; Rehrmann, Peter; Raaz, Waldemar; Rath, Thomas (2023): Blue Apple – an algorithm to realize agricultural classification under difficult light and color situations. 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-724-1. pp. 53-64. Osnabrück. 13.-14. Februar 2023

Zitierform

DOI

Tags