Plant Leaf Disease Segmentation Using U-Net++: A Comparative Evaluation with Classical Baselines

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

Description

Keywords

Digital Image Processing, Comparative Study, K-Means Clustering, Image Segmentation, U-net++, Otsu’s Thresholding, Plant Disease Detection

Fields of Science

Citation

WoS Q

Scopus Q

Source

4th Cognitive Models and Artificial Intelligence Conference, AICCONF 2026 - Proceedings -- 4th Cognitive Models and Artificial Intelligence Conference, AICCONF 2026 -- 24 April 2026 through 25 April 2026 -- Prague -- 226103

Volume

Issue

Start Page

1

End Page

8

URI

https://hdl.handle.net/20.500.12573/6068
 https://doi.org/10.1109/AICCONF69182.2026.11600652

Collections

Scopus İndeksli Yayınlar Koleksiyonu
Full item page