A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis

S Mehta, V Kukreja, R Yadav - 2023 Second International …, 2023 - ieeexplore.ieee.org
This research includes four disease levels and one healthy level in a federated learning
Convolutional Neural Network (CNN) model for detecting and categorizing tomato leaf …

Exploring the molecular interaction of PCOS and endometrial carcinoma through novel hyperparameter-optimized ensemble clustering approaches

P Karadayı Ataş - Mathematics, 2024 - mdpi.com
Polycystic ovary syndrome (PCOS) and endometrial carcinoma (EC) are gynecological
conditions that have attracted significant attention due to the higher prevalence of EC in …

Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems

A Kempelis, I Polaka, A Romanovs, A Patlins - Future Internet, 2024 - mdpi.com
Urban agriculture presents unique challenges, particularly in the context of microclimate
monitoring, which is increasingly important in food production. This paper explores the …

A Comprehensive Review on Deep Learning and Machine Learning Approaches for Tomato Leaf Disease Identification

SJ Basha, H Bommala, NS Kumar… - 2023 8th …, 2023 - ieeexplore.ieee.org
Farming is India's primary economic sector. More than 58% of rural income is generated by
the agricultural sector. One of the most extensively produced food crops in India is tomatoes …

WCG-VMamba: A multi-modal classification model for corn disease

H Wang, M He, M Zhu, G Liu - Computers and Electronics in Agriculture, 2025 - Elsevier
Corn is one of the important food crops and industrial raw materials. However, maize
diseases have seriously affected its yield and quality. In order to effectively identify maize …

Domates Yapraklarında Hastalık Tespiti İçin Transfer Öğrenme Metotlarının Kullanılması

S Kılıçarslan, I Pacal - Mühendislik Bilimleri ve Araştırmaları Dergisi, 2023 - dergipark.org.tr
Günümüzde, tarımsal faaliyetlerin verimli hale getirilmesi için her gün birçok araştırma
yapılmaktadır. Dünya genelinde kişi başı domates tüketimi, yılda yaklaşık olarak 20 kg ile ilk …

Hyperparameter Optimization on CNN Using Hyperband for Fault Identification in Wind Turbine High-Speed Shaft Gearbox Bearing

SM Gbashi, OO Olatunji, PA Adedeji… - … Computer and Energy …, 2023 - ieeexplore.ieee.org
Given the adverse operating regime of the wind turbine gearbox, fault recognition models for
components need to be optimized for reliable operation. However, selection of optimal …

Evaluation of Enhanced Resnet-50 Based Deep Learning Classifier for Tomato Leaf Disease Detection and Classification

L Upadhyay, A Saxena - Journal of Electrical Systems, 2024 - search.proquest.com
This research presents a comprehensive assessment of a sophisticated approach for the
accurate detection and classification of various tomato leaf diseases using an improved …

CNN model suitability analysis for prediction of tomato leaf diseases

C Vengaiah, M Priyadharshini - 2023 6th International …, 2023 - ieeexplore.ieee.org
India's most popular vegetable crop is tomatoes, but despite the tropical climate, tomato
plant growth is affected by The circumstances of weather and other factors. Plant disease …

Tomato Guard: A Predictive Model for Disease Prediction and Treatment Recommendation in Tomato Plants

SJ Basha, D Veeraiah, BS Dev… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
India, renowned for its tomato production, faces challenges in terms of quality and quantity of
tomato crops due to escalating incidences of diseases. This research introduces “Tomato …