Cover Image

A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Sherifi, Shkelqim
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intelligent Traffic Monitoring with YOLOv11: A Case Study in Real-Time Vehicle Detection
by: Sherifi, Shkelqim
Published: (2026)

Albank -- a case study on the use of ethereum blockchain technology and smart contracts for secure decentralized bank application
by: Sherifi, Shkelqim
Published: (2026)

Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD
by: Ouamane, Abdelmalik, et al.
Published: (2024)

Advanced Machine Learning Framework for Efficient Plant Disease Prediction
by: Muthuselvam, Aswath, et al.
Published: (2024)

Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
by: Singh, Balram, et al.
Published: (2025)

GourNet: A CNN-Based Model for Mango Leaf Disease Detection
by: Alam, Ekram, et al.
Published: (2026)

Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Crops
by: Kumar, Anand, et al.
Published: (2025)

Automated Disease Diagnosis in Pumpkin Plants Using Advanced CNN Models
by: Khaldi, Aymane, et al.
Published: (2024)

Design and Implementation of FourCropNet: A CNN-Based System for Efficient Multi-Crop Disease Detection and Management
by: Khandagale, H. P., et al.
Published: (2025)

Rice Leaf Disease Detection: A Comparative Study Between CNN, Transformer and Non-neural Network Architectures
by: Mehnaz, Samia, et al.
Published: (2025)

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection
by: Oak, Omkar, et al.
Published: (2024)

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)

Transfer Learning-Based CNN Models for Plant Species Identification Using Leaf Venation Patterns
by: Bharadwaj, Bandita, et al.
Published: (2025)

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research
by: Krumpl, Gerhard, et al.
Published: (2026)

Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
by: Salwig, Sebastian, et al.
Published: (2025)

PD-Loss: Proxy-Decidability for Efficient Metric Learning
by: Silva, Pedro, et al.
Published: (2025)

Is Architectural Complexity Always the Answer? A Case Study on SwinIR vs. an Efficient CNN
by: Sutariya, Chandresh, et al.
Published: (2025)

Optimized Custom CNN for Real-Time Tomato Leaf Disease Detection
by: Oni, Mangsura Kabir, et al.
Published: (2025)

Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
by: Arifin, Khandoker Nosiba, et al.
Published: (2024)

A Novel CNN Gradient Boosting Ensemble for Guava Disease Detection
by: Rijon, Tamim Ahasan, et al.
Published: (2025)

Mam-App: A Novel Parameter-Efficient Mamba Model for Apple Leaf Disease Classification
by: Mahamood, Md Nadim, et al.
Published: (2026)

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
by: Chen, Yirui, et al.
Published: (2024)

Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN Models
by: Kanakala, Srinivas, et al.
Published: (2025)

StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection
by: Mamun, Abdullah Al, et al.
Published: (2025)

Fine-Tuned CNN-Based Approach for Multi-Class Mango Leaf Disease Detection
by: Ahmmed, Jalal, et al.
Published: (2025)

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
by: Ni, Zhenliang, et al.
Published: (2025)

A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models
by: Nathani, Samay
Published: (2024)

Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
by: Roumeliotis, Konstantinos I., et al.
Published: (2025)

A Case Study on Concept Induction for Neuron-Level Interpretability in CNN
by: Sarma, Moumita Sen, et al.
Published: (2026)

ConMamba: Contrastive Vision Mamba for Plant Disease Detection
by: Mamun, Abdullah Al, et al.
Published: (2025)

Distilling Vision-Language Models on Millions of Videos
by: Zhao, Yue, et al.
Published: (2024)

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
by: Dayan, Baljinnyam
Published: (2024)

A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
by: Islam, Anika, et al.
Published: (2025)

Efficient Learning for Product Attributes with Compact Multimodal Models
by: Kulkarni, Mandar
Published: (2025)

Deep Learning Based CNN Model for Automated Detection of Pneumonia from Chest XRay Images
by: Anumula, Sathish Krishna, et al.
Published: (2026)

Quality Detection of Stored Potatoes via Transfer Learning: A CNN and Vision Transformer Approach
by: Kapse, Shrikant, et al.
Published: (2026)

PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
by: Wei, Tianqi, et al.
Published: (2024)

Hierarchical Object Detection and Recognition Framework for Practical Plant Disease Diagnosis
by: Iwano, Kohei, et al.
Published: (2024)

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
by: Djoumessi, Kerol, et al.
Published: (2025)

Fracture Detection In X-rays Using Custom Convolutional Neural Network (CNN) And Transfer Learning Models
by: Hassan, Amna, et al.
Published: (2025)