Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification
Fuente:
arXiv
Saved in:
| Main Authors: | Saddami, Khairun, Nurdin, Yudha, Zahramita, Mutia, Safiruz, Muhammad Shahreeza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications
by: Rodrigo, Kayne Uriel K., et al.
Published: (2024)
by: Rodrigo, Kayne Uriel K., et al.
Published: (2024)
Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
by: Mia, Md. Rokon, et al.
Published: (2026)
by: Mia, Md. Rokon, et al.
Published: (2026)
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
by: Haque, Md. Ehsanul, et al.
Published: (2026)
by: Haque, Md. Ehsanul, et al.
Published: (2026)
Dynamic Meta-Ensemble Framework for Efficient and Accurate Deep Learning in Plant Leaf Disease Detection on Resource-Constrained Edge Devices
by: Moges, Weloday Fikadu, et al.
Published: (2026)
by: Moges, Weloday Fikadu, et al.
Published: (2026)
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
by: Sobuj, Md. Shohanur Islam, et al.
Published: (2024)
by: Sobuj, Md. Shohanur Islam, et al.
Published: (2024)
Vehicle Classification under Extreme Imbalance: A Comparative Study of Ensemble Learning and CNNs
by: Syarubany, Abu Hanif Muhammad
Published: (2025)
by: Syarubany, Abu Hanif Muhammad
Published: (2025)
AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification
by: Le, Minh-Dung, et al.
Published: (2026)
by: Le, Minh-Dung, et al.
Published: (2026)
Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model
by: Prity, Farida Siddiqi, et al.
Published: (2025)
by: Prity, Farida Siddiqi, et al.
Published: (2025)
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time
by: Snoussi, Haykel, et al.
Published: (2025)
by: Snoussi, Haykel, et al.
Published: (2025)
Leaf-Based Plant Disease Detection and Explainable AI
by: Sagar, Saurav, et al.
Published: (2023)
by: Sagar, Saurav, et al.
Published: (2023)
Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
by: Thuau, Sébastien, et al.
Published: (2025)
by: Thuau, Sébastien, et al.
Published: (2025)
Efficient Hyperparameter Importance Assessment for CNNs
by: Wang, Ruinan, et al.
Published: (2024)
by: Wang, Ruinan, et al.
Published: (2024)
Accurate Water Level Monitoring in AWD Rice Cultivation Using Convolutional Neural Networks
by: Hasan, Ahmed Rafi, et al.
Published: (2024)
by: Hasan, Ahmed Rafi, et al.
Published: (2024)
Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification
by: Mia, Shakil, et al.
Published: (2026)
by: Mia, Shakil, et al.
Published: (2026)
ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI
by: Rahman, Ashiqur, et al.
Published: (2026)
by: Rahman, Ashiqur, et al.
Published: (2026)
Hydra: Accurate Multi-Modal Leaf Wetness Sensing with mm-Wave and Camera Fusion
by: Liu, Yimeng, et al.
Published: (2025)
by: Liu, Yimeng, et al.
Published: (2025)
Automated Image Captioning with CNNs and Transformers
by: Cahyono, Joshua Adrian, et al.
Published: (2024)
by: Cahyono, Joshua Adrian, et al.
Published: (2024)
Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification
by: Asif, Muhammad Junaid, et al.
Published: (2026)
by: Asif, Muhammad Junaid, et al.
Published: (2026)
A Lightweight and Interpretable Deepfakes Detection Framework
by: Farooq, Muhammad Umar, et al.
Published: (2025)
by: Farooq, Muhammad Umar, et al.
Published: (2025)
CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering
by: Saha, Aranya, et al.
Published: (2025)
by: Saha, Aranya, et al.
Published: (2025)
LWMSCNN-SE: A Lightweight Multi-Scale Network for Efficient Maize Disease Classification on Edge Devices
by: Weloday, Fikadu, et al.
Published: (2026)
by: Weloday, Fikadu, et al.
Published: (2026)
Less is More: The Influence of Pruning on the Explainability of CNNs
by: Merkle, Florian, et al.
Published: (2023)
by: Merkle, Florian, et al.
Published: (2023)
Beyond CNNs: Efficient Fine-Tuning of Multi-Modal LLMs for Object Detection on Low-Data Regimes
by: Elamon, Nirmal, et al.
Published: (2025)
by: Elamon, Nirmal, et al.
Published: (2025)
Enhancing Leaf Disease Classification Using GAT-GCN Hybrid Model
by: Sundhar, Shyam, et al.
Published: (2025)
by: Sundhar, Shyam, et al.
Published: (2025)
Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
by: Singh, Balram, et al.
Published: (2025)
by: Singh, Balram, et al.
Published: (2025)
Adaptive Hybrid Optimizer based Framework for Lumpy Skin Disease Identification
by: Ubaidullah, et al.
Published: (2026)
by: Ubaidullah, et al.
Published: (2026)
Lightweight Deepfake Detection Based on Multi-Feature Fusion
by: Yasir, Siddiqui Muhammad, et al.
Published: (2025)
by: Yasir, Siddiqui Muhammad, et al.
Published: (2025)
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
Transfer Learning With Densenet201 Architecture Model For Potato Leaf Disease Classification
by: Charisma, Rifqi Alfinnur, et al.
Published: (2024)
by: Charisma, Rifqi Alfinnur, et al.
Published: (2024)
Improved Cotton Leaf Disease Classification Using Parameter-Efficient Deep Learning Framework
by: Patra, Aswini Kumar, et al.
Published: (2024)
by: Patra, Aswini Kumar, et al.
Published: (2024)
A Critical Study on Tea Leaf Disease Detection using Deep Learning Techniques
by: Borah, Nabajyoti, et al.
Published: (2025)
by: Borah, Nabajyoti, et al.
Published: (2025)
Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification
by: Richter, David J.
Published: (2026)
by: Richter, David J.
Published: (2026)
LeafLife: An Explainable Deep Learning Framework with Robustness for Grape Leaf Disease Recognition
by: Alam, B. M. Shahria, et al.
Published: (2026)
by: Alam, B. M. Shahria, et al.
Published: (2026)
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
by: Singh, Aniket K., et al.
Published: (2024)
by: Singh, Aniket K., et al.
Published: (2024)
Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
by: Coutinho, Catarina P., et al.
Published: (2025)
by: Coutinho, Catarina P., et al.
Published: (2025)
When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks
by: Li, Yuanhang
Published: (2026)
by: Li, Yuanhang
Published: (2026)
Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
by: Yasir, Siddiqui Muhammad, et al.
Published: (2025)
by: Yasir, Siddiqui Muhammad, et al.
Published: (2025)
VisNet: Efficient Person Re-Identification via Alpha-Divergence Loss, Feature Fusion and Dynamic Multi-Task Learning
by: Ijaz, Anns, et al.
Published: (2026)
by: Ijaz, Anns, et al.
Published: (2026)
Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring
by: Zhao, Lemeng, et al.
Published: (2024)
by: Zhao, Lemeng, et al.
Published: (2024)
TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification
by: Ahamed, Rafi, et al.
Published: (2026)
by: Ahamed, Rafi, et al.
Published: (2026)
Similar Items
-
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications
by: Rodrigo, Kayne Uriel K., et al.
Published: (2024) -
Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
by: Mia, Md. Rokon, et al.
Published: (2026) -
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
by: Haque, Md. Ehsanul, et al.
Published: (2026) -
Dynamic Meta-Ensemble Framework for Efficient and Accurate Deep Learning in Plant Leaf Disease Detection on Resource-Constrained Edge Devices
by: Moges, Weloday Fikadu, et al.
Published: (2026) -
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
by: Sobuj, Md. Shohanur Islam, et al.
Published: (2024)