Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach

Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach

Early diagnosis and efficient categorization of plant diseases are of utmost importance to support agricultural production and profitability. Besides, this research aims to investigate the feasibility that employs data mining framework together with optimization algorithms as approaches towards plan...

Full description

Saved in:

Bibliographic Details
Main Authors:	Wagh Swapnil, Sharma Ruchi
Format:	Article
Language:	English
Published:	EDP Sciences 2025-01-01
Series:	EPJ Web of Conferences
Online Access:	https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01010.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Mining Classification Techniques for Diabetes Prediction
by: Hindreen Rashid Abdulqadir, et al.
Published: (2021-05-01)

Applied of Classification Technique in Data Mining For Credit Scoring
by: Heriyanto Heriyanto, et al.
Published: (2022-12-01)

Classification of Textual E-Mail Spam Using Data Mining Techniques
by: Rasim M. Alguliev, et al.
Published: (2011-01-01)

Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data
by: Ahmed Imtiaz, et al.
Published: (2025-06-01)

Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data
by: M. Pajany, et al.
Published: (2024-01-01)

Confidence-Aware Multi-Model Image Classification for Early Disease Detection in Plants
by: Zhong Tianyi, et al.
Published: (2025-09-01)

Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification
by: P. Preethi, et al.
Published: (2024-09-01)

Classification of and detection techniques for RNAi-induced effects in GM plants
by: Cecilia Diaz, et al.
Published: (2025-03-01)

Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance.
by: Hussein, Alkattan, et al.
Published: (2024)

Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques
by: Walid Theib Mohammad, et al.
Published: (2022-01-01)

Bayesian optimized deep learning and ensemble classification approach for multiclass plant disease identification
by: Silpa Padmanabhuni, et al.
Published: (2025-07-01)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
by: Richard S. Segall
Published: (2024-12-01)

Data mining approach on information detection using intelligent miner for data
by: Regina Kulvietienė, et al.
Published: (2003-12-01)

Data mining techniques for the study of online learning from an extended approach
by: José Manuel Sánchez-Sordo
Published: (2019-05-01)

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification
by: Anuruk Prommakhot, et al.
Published: (2025-01-01)

Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks
by: Tinuk Agustin, et al.
Published: (2025-02-01)

Retracted: Diagnosis of Breast Cancer Pathology on the Wisconsin Dataset with the Help of Data Mining Classification and Clustering Techniques
by: Applied Bionics and Biomechanics
Published: (2023-01-01)

Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor
by: Delima Sitanggang, et al.
Published: (2024-11-01)

Early Warning Systems for Plant Diseases in delta regions: Machine Learning Approaches
by: Biswas Debarghya, et al.
Published: (2025-01-01)

Human Heart Disease Prediction System Using Data Mining Techniques
by: Sidra Javed, et al.
Published: (2019-03-01)

THE FEATURES OF MODERN DATA MINING TECHNIQUES
by: A. A. Moskvitin
Published: (2022-10-01)

Data Mining Techniques in Decision Making
by: Amna Sajid, et al.
Published: (2023-07-01)

Data Mining-Based Phishing Detection
by: Jan Bohacik, et al.
Published: (2020-09-01)

Financial Fraud Detection on Social Networks Based on a Data Mining Approach
by: Victoria Bozhenko, et al.
Published: (2022-12-01)

Advanced deep transfer learning techniques for efficient detection of cotton plant diseases
by: Prashant Johri, et al.
Published: (2024-12-01)

Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques
by: Arun Kumar Singh, et al.
Published: (2025-06-01)

Prediction and classification of wheat plant disease in Pakistan using deep learning techniques
by: Muhammad Usman Malik, et al.
Published: (2025-07-01)

Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection
by: Annisa Putri Utami, et al.
Published: (2024-05-01)

Direct and indirect technical guide for the early detection and management of fungal plant diseases
by: Gargi Sharma, et al.
Published: (2024-01-01)

AI-Driven Solutions for Early Detection of Plant Diseases
by: Saha Laboni, et al.
Published: (2025-01-01)

Nano-enabled biosensors in early detection of plant diseases
by: Ambika Chaturvedi, et al.
Published: (2025-04-01)

The Concept of Data Mining and Knowledge Extraction Techniques
by: Renas Rajab Asaad, et al.
Published: (2021-03-01)

Trajectory analysis using data mining techniques
by: Gary Reyes
Published: (2025-04-01)

Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach
by: Mustafa Youldash, et al.
Published: (2024-11-01)

A novel feature selection technique: Detection and classification of Android malware
by: Sandeep Sharma, et al.
Published: (2025-03-01)

A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
by: Alali Abdulla Mousa Falah, et al.
Published: (2023-11-01)

Fuzzy deep learning architecture for cucumber plant disease detection and classification
by: Anas Bilal, et al.
Published: (2025-05-01)

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification
by: Fhira Nhita, et al.
Published: (2025-01-01)

Data mining approach in detecting inaccurate financial statements in government-owned enterprises
by: Amra Gadžo, et al.
Published: (2025-01-01)

DIAGNOSTIC TECHNIQUES FOR THE EARLY DETECTION OF DEGENERATIVE JOINT DISEASES IN CHILDREN
by: N.I. Taibulatov, et al.
Published: (2010-03-01)