Comparative Analysis of Deep Learning-Based Feature Extraction and Traditional Classification Approaches for Tomato Disease Detection

In recent years, significant advancements in artificial intelligence, particularly in the field of deep learning, have increasingly been integrated into agricultural applications, including critical processes such as disease detection. Tomato, being one of the most widely consumed agricultural produ...

Full description

Saved in:
Bibliographic Details
Main Authors: Hakan Terzioğlu, Adem Gölcük, Adnan Mohammad Anwer Shakarji, Mateen Yilmaz Al-Bayati
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/15/7/1509
Tags: Add Tag
No Tags, Be the first to tag this record!