Improving Agricultural Efficiency: Severity-based Diagnosis of Bottle Gourd Leaf Diseases Using Federated Learning CNN
The identification and categorization of Bottle Gourd leaf illnesses across various severity
levels are presented in this research as a unique application of the foundation of the study is …
levels are presented in this research as a unique application of the foundation of the study is …
Improved Food Security of Bottle Gourd Leaf Disease by Federated Learning CNN: A Case Study
This study uses Convolutional Neural Networks (CNN) in a networked machine learning
framework called federated learning to research classifying six-bottle gourd leaf illnesses. In …
framework called federated learning to research classifying six-bottle gourd leaf illnesses. In …
Severity-Level Assessment of Groundnut Leaf Diseases: A Federated Learning and CNN Approach
Early diagnosis and categorization of plant diseases, especially those that affect groundnut
leaves, are crucial in agriculture. This study examines cutting-edge-based Federated …
leaves, are crucial in agriculture. This study examines cutting-edge-based Federated …
A Comprehensive Study on Paddy Leaf Disease Detection using CNN and Random Forest
In the context of paddy leaf diseases, this study thoroughly assesses disease classification
performance. Brown Spot Disease, Blasting Disease, Sheath Blight, Bacterial Leaf Blight …
performance. Brown Spot Disease, Blasting Disease, Sheath Blight, Bacterial Leaf Blight …
Combining CNN and SVM for Accurate Identification of Ridge Gourd Leaf Diseases
This study proposes a method for identifying and classifying ridge gourd leaf illnesses using
a network of convolutional neural networks (CNN) models. Two layers using convolution …
a network of convolutional neural networks (CNN) models. Two layers using convolution …
Agriculture Innovations: Broccoli Leaf Diseases Classification through Federated Learning CNN's
S Chattopadhyay, A Verma, V Kukreja… - … on Reliability, Infocom …, 2024 - ieeexplore.ieee.org
The study concentrates on applying federated learning with convolutional neural networks
(CNN) to enhance the accuracy of diagnosing and classifying broccoli leaf diseases in …
(CNN) to enhance the accuracy of diagnosing and classifying broccoli leaf diseases in …
Adopting Federated Learning and CNN for Advanced Plant Pathology: A Case of Red Globe Grape Leaf Diseases Dissecting Severity
This article examines a novel method for categorizing Red Globe grape leaf illnesses,
supported by convolutional neural networks (CNNs) and federated learning. The goal is to …
supported by convolutional neural networks (CNNs) and federated learning. The goal is to …
A Unified Framework for Chili Leaf Disease Classification Using Federated Learning CNN
A Kaur, V Kukreja, S Chamoli… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The increasing complexities in agricultural practices, namely in identifying chili leaf
diseases, need intelligent systems that can efficiently analyze large volumes of data. This …
diseases, need intelligent systems that can efficiently analyze large volumes of data. This …
Federated Learning CNN's in Agriculture: Unveiling Disease Severity Analysis of Java Plum Leaf's
The unique approach introduced in this research categorizes Java Plum Leaf illnesses into
five severity categories using an FL_CNN. The study tackles the primary difficulty of accurate …
five severity categories using an FL_CNN. The study tackles the primary difficulty of accurate …
The Role of Federated Learning and CNNs in the Detection and Classification of Zucchini Leaf Diseases: A Severity-Based Analysis
This study investigates using FL_CNN to categorize zucchini leaves into five severity levels.
In this investigation, five customers representing various severity levels were used. The …
In this investigation, five customers representing various severity levels were used. The …