Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection
Early and accurate detection of plant diseases is crucial for making informed decisions to increase the yield and quality of crops through the decision of appropriate treatments. This study introduces an automated system for early disease detection in plants that enhanced a lightweight model based o...
Saved in:
Main Authors: | Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Computer Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2024.1480481/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism
by: Shaodan Lin, et al.
Published: (2025-02-01) -
Prediction of viscosity of blast furnace slag based on NRBO-DNN model
by: Zhe Li, et al.
Published: (2025-04-01) -
Random Frequency Division Multiplexing
by: Chanzi Liu, et al.
Published: (2024-12-01) -
Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks
by: Xiaoying Tang, et al.
Published: (2024-01-01) -
Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering
by: Thommas K. S. Flores, et al.
Published: (2025-01-01)