A Hybrid Feature Extraction and Classification using Xception-RF for Multiclass Disease Classification in Plant Leaves
In today’s world, agriculture is one of the most important assets as it affects the economy of the country. Biotic stress caused by fungi, bacteria, and viruses is common in plants; hence plant disease recognition is essential as it could identify diseases at the early stages of infection. Most of t...
Main Authors: | Abisha A, Bharathi N |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
|
Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2023.2176614 |
Similar Items
-
L2MXception: an improved Xception network for classification of peach diseases
by: Na Yao, et al.
Published: (2021-04-01) -
The Xception model: A potential feature extractor in breast cancer histology images classification
by: Shallu Sharma, et al.
Published: (2022-03-01) -
FEATURES OF DIAGNOSTICS OF TECHNICAL SYSTEMS USING MULTICLASS CLASSIFICATION
by: V.N. Klyachkin, et al.
Published: (2022-06-01) -
Stress Classification Using ECGs Based on a Multi-Dimensional Feature Fusion of LSTM and Xception
by: Cheol Ho Song, et al.
Published: (2024-01-01) -
Classification of large ornithopod dinosaur footprints using Xception transfer learning
by: Yeoncheol Ha, et al.
Published: (2023-01-01)