This review article provides a comprehensive examination of the state-of-the-art in maize
disease detection leveraging Convolutional Neural Networks (CNNs). Beginning with the …

A system in place for real-time monitoring, leak detection, water use optimizations, and water
distribution that can adjust through IoT technologies dynamically is being developed; it …

In improving agricultural yields and ensuring food security, precise detection of maize leaf
diseases is of great importance. Traditional disease detection methods show limited …

Rapid diagnosis of crop diseases at the early stages is an essential instrument to build up
agriculture adaptability, specifically for develo** countries. The present work fails to …

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 …

Following the advancements in agricultural AI, combining federated learning with CNNs
represents an innovative solution for addressing banana leaf disease. This study …

This paper has provided, in detail, a complete study of the application of Convolutional
Neural Networks (CNN) together with support vector machines for the classification of …

PD, or Parkinson's Disease, is a neurodegenerative disorder that commonly disorients
movement abilities. Hence, correctly identifying this disease at its early stages is essential …

This research paper proposes a novel technique that utilizes the federated learning
framework and convolutional neural networks (CNN) to identify aloe vera leaf diseases. The …

The research paper discussed how integrating a federated learning framework using a
Convolutional Neural Network (CNN) enables groundbreaking work in classifying aloe vera …