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 …

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

The project is directed to accurately recognize strawberry leaf disease at different degrees of
severity by employing federated learning with the Convolutional Neural Network (CNN). A …

The world's second-largest producer and exporter of rice is India. Early disease detection is
crucial to ensuring healthy rice production. In order to address the issue of diagnosing …

The use of convolutional neural networks (CNNs) in the context of federated learning is
presented in this paper in order to introduce a new method for disease classification on the …

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 …

The timely and precise identification of plant diseases is still crucial in precision agriculture
to guarantee maximum crop health and yields. Using a novel combination of Federated …

Being a major agricultural country, a considerable amount of development depends on the
agriculture of Bangladesh. As agriculture stays one of the main areas of the Bangladeshi …

Crop leaf diseases pose a significant and persistent threat to agricultural productivity and
food security, particularly in Bangladesh, where agriculture plays a crucial role in the …

Plant diseases recognition large crop losses and have negative economic effects, which
makes them a serious danger to the world's food security. Early and accurate disease …