Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection
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 …
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …
Advanced mango leaf disease detection and severity analysis with federated learning and cnn
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …
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
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 …
confronts significant obstacles because of illnesses that harm apple leaves. Early diagnosis …
Efficient bag of deep visual words based features to classify CRC images for colorectal tumor diagnosis
CRC images are one of the most essential diagnostic techniques for colorectal cancer
detection. The bag of deep visual words-based methodology (BoDVW) has proven to be a …
detection. The bag of deep visual words-based methodology (BoDVW) has proven to be a …
A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis
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 …
Convolutional Neural Network (CNN) model for detecting and categorizing tomato leaf …
Improving Crop Health Management: Federated Learning CNN for Spinach Leaf Disease Detection
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 …
federated learning to identify and classify illnesses in spinach leaves. 6,785 photos of …
Unravelling Peach Leaf Disease Severity: A Federated Learning CNN Perspective
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 …
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
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 …
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
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) …
and determining the severity of each condition using convolutional neural networks (CNNs) …
Apple Leaf Disease Recognition: A Robust Federated Learning CNN Methodology
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 …
Accurate and early identification is essential for the successful care and control of many …