Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection

S Mehta, V Kukreja, S Vats - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
This study offers a new method for identifying and categorizing mango leaf illnesses using a
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …

Advanced mango leaf disease detection and severity analysis with federated learning and cnn

S Mehta, V Kukreja, R Yadav - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …

Empowering Precision Agriculture: Detecting Apple Leaf Diseases and Severity Levels with Federated Learning CNN

S Mehta, V Kukreja, R Gupta - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The production of apples contributes significantly to the world's food security, but it also
confronts significant obstacles because of illnesses that harm apple leaves. Early diagnosis …

Improving Crop Health Management: Federated Learning CNN for Spinach Leaf Disease Detection

S Mehta, V Kukreja, S Vats - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
This paper offers a unique method that combines convolutional neural networks (CNN) with
federated learning to identify and classify illnesses in spinach leaves. 6,785 photos of …

Unravelling Peach Leaf Disease Severity: A Federated Learning CNN Perspective

V Sharma, S Mehta, V Kukreja… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The identification and severity evaluation of peach leaf diseases using Convolutional Neural
Networks (CNN) inside a federated learning (FL) framework is presented in detail in this …

Collaborative Intelligence in AgriTech: Federated Learning CNN for Bean Leaf Disease Classification

S Mehta, V Kukreja, A Gupta - 2023 World Conference on …, 2023 - ieeexplore.ieee.org
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 …

Bean Leaf Disease Diagnosis in the Age of Federated Learning and CNN: A Severity Analysis Approach

S Mehta, V Kukreja, S Vats - 2023 Second International …, 2023 - ieeexplore.ieee.org
This study describes a unique federated learning method for classifying bean leaf disorders
and determining the severity of each condition using convolutional neural networks (CNNs) …

IoT-based patient stretcher movement simulation in smart hospital using type-2 fuzzy sets systems

CB Sivaparthipan, M Anand, N Agarwal… - … Planning & Control, 2023 - Taylor & Francis
The healthcare facilities in the modern age are the key challenge in developing countries
where remote areas lack immense-quality hospitals and medical experts. The idea here is to …

Apple Leaf Disease Recognition: A Robust Federated Learning CNN Methodology

S Mehta, V Kukreja, R Gupta - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Apple leaf diseases threaten apple orchard sustain ability and production worldwide.
Accurate and early identification is essential for the successful care and control of many …

A review on artificial intelligence driven biomedical engineering implants in healthcare

R Goyal, C Khosla, M Sood, K Singh… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) has grown significantly in recent years, with a wide range of
applications in a wide range of industries. And there are numerous medical applications that …