Classification of tomato leaf disease using Transductive Long Short-Term Memory with an attention mechanism
Tomatoes are considered one of the most valuable vegetables around the world due to their usage and minimal harvesting period. However, effective harvesting still remains a major issue because tomatoes are easily susceptible to weather conditions and other types of attacks. Thus, numerous research s...
Saved in:
Main Authors: | Aarthi Chelladurai, D.P. Manoj Kumar, S. S. Askar, Mohamed Abouhawwash |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1467811/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stem and Leaf Segmentation and Phenotypic Parameter Extraction of Tomato Seedlings Based on 3D Point
by: Xuemei Liang, et al.
Published: (2025-01-01) -
Tomato mitogen-activated protein kinase: mechanisms of adaptation in response to biotic and abiotic stresses
by: Yumei Shi, et al.
Published: (2025-02-01) -
DM-YOLO: improved YOLOv9 model for tomato leaf disease detection
by: Abudukelimu Abulizi, et al.
Published: (2025-02-01) -
Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN
by: Henghui Mo, et al.
Published: (2025-03-01) -
An improved ShuffleNetV2 method based on ensemble self-distillation for tomato leaf diseases recognition
by: Shuiping Ni, et al.
Published: (2025-01-01)