This study looks into how Federated Learning (FL) and Convolutional Neural Networks
(CNN) can be used in new ways to find and classify five types of Brinjal leaf diseases. The …

A study about brinjal leaf disease diagnosis using federated learning using CNN is
presented here. Based on the data from four clients, we can identify four levels of severity for …

Convolutional neural networks (CNNs) with federated learning are used in this study paper's
innovative classification method for five different Okra leaf diseases. The research is being …

This study examines the use of Convolutional Neural Networks (CNN) with Federated
Learning to diagnose five different types of jackfruit leaf diseases. This work develops …

Early detection of leaf diseases is crucial in agricultural research to maximise production
and maintain crop health. With the use of Convolutional Neural Networks (CNN) and …

Farmers may suffer considerable financial losses due to guava leaf infections, notably in
India, where guava planting is common. This study uses federated learning and …

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

Agriculture is a vital revenue source for a developing nation like India. India is the world's
second-largest tomato producer. Tomatoes are the world's most common crop, and they can …

This study explains how a federated learning Convolutional Neural Network (CNN) model is
used to diagnose the various degrees of beetroot leaf diseases. Beetroot crops are essential …

The agricultural field contributes significantly to a country's revenue. Plants are vital because
they provide a source of food for humans. The farmers usually employ manual agricultural …