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 …

The spread of plant diseases negatively impacts agricultural output considerably,
demanding quick, accurate, and reliable detection techniques. This paper presents a …

This research paper proposes a unique method using the benefits of federated learning and
convolutional neural networks to find watermelon leaf diseases. In particular, the study …

This study introduces a convolutional neural network (CNN) technique based on federated
learning to classify bean leaf diseases. The research allays data privacy by allowing users to …

The outbreak of several panicle and foliage diseases causes a major threat to agricultural
production and sustainability. This article introduces the disease categorization method for …

A new method combining Federated Learning and Convolutional Neural Networks (CNNs)
is explored in this study for the precise identification of Brinjal leaf diseases in agricultural …

This study adopts a novel strategy using federated learning with a Convolutional Neural
Network (CNN) to identify and categorize Cucurbit leaf diseases. The research includes …

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 …

The study details implementing a federated learning framework using a Convolutional
Neural Network (CNN) to assess the severity of almond leaf diseases across a group of six …

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 …