The study concentrates on applying federated learning with convolutional neural networks
(CNN) to enhance the accuracy of diagnosing and classifying broccoli leaf diseases in …

A federated learning approach using convolutional neural networks (CNNs) for broccoli
leaves' disease classification is described in our study. Here are a few highlights from the …

This study utilizes federated learning framework and Convolutional Neural Networks (CNN)
to detect and categorize diseases affecting broccoli leaves. This study has used data from …

In this research paper, agricultural diseases can be detected using innovative technologies.
To discuss classification approaches to strawberry leaf disease using a Federated Learning …

This research study explored a novel way of diagnosing and categorizing cauliflower leaf
diseases by integrating federated learning (FL) with convolutional neural networks. Five …

This study paper gives a new way to find and classify diseases in papaya leaves using
federated learning with convolutional neural networks (CNN). The research is about finding …

This research paper uses Federated Learning (FL) with Convolutional Neural Networks
(CNNs) to classify papaya leaves into five diseases. This research is carried out …

Early and accurate diagnosis of plant diseases is essential for producing abundant crops in
the quickly developing field of agricultural diagnostics. This study clarifies how convolutional …

The present research deals with a new approach to precision agriculture, particularly the
classification of cauliflower leaf disease using Federated Learning (FL) integrated into …

Leaf infections are a persistent problem in strawberry agriculture, an agricultural sector with
significant economic importance. Five primary kinds of leaf diseases significantly reduce …