Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification
Prompt and accurate classification of wheat leaf diseases and their severity is essential for precise diagnosis, effective pesticide application, efficient disease control, and enhanced wheat production and quality. Nevertheless, the wide range of wheat diseases poses a significant challenge in term...
Saved in:
| Main Authors: | Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sara Tehsin, Dania Saleem Malik, Ismail Keshta, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10883997/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes
by: Linggar Maretva Cendani, et al.
Published: (2022-05-01) -
Ensemble Learning-Driven and UAV Multispectral Analysis for Estimating the Leaf Nitrogen Content in Winter Wheat
by: Yu Han, et al.
Published: (2025-07-01) -
Teknik Bagging pada Ensemble Learning untuk Kategorisasi Produk E-Commerce
by: Faskal Churniansyah, et al.
Published: (2024-05-01) -
Photovoltaic Array Fault Detection Using Ensemble Learning-Based Technique
by: Anshul Shekhar, et al.
Published: (2025-07-01) -
APPLICATION OF BAGGING CART IN THE CLASSIFICATION OF ON-TIME GRADUATION OF STUDENTS IN THE STATISTICS STUDY PROGRAM OF TANJUNGPURA UNIVERSITY
by: Widad Imtiyaz, et al.
Published: (2023-12-01)