Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms
Detecting plant diseases is a challenging and time-consuming task that requires expertise
and laboratory conditions. Deep learning methods have been proposed as a solution to this …
and laboratory conditions. Deep learning methods have been proposed as a solution to this …
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 …
ACIGS: An automated large-scale crops image generation system based on large visual language multi-modal models
B Liu, H Zhang, J Liu, Q Wang - 2023 20th Annual IEEE …, 2023 - ieeexplore.ieee.org
Smart agriculture requires an extensive convergence of information technology and
agriculture. Attaining intelligence mandates an enormous amount of data to train models …
agriculture. Attaining intelligence mandates an enormous amount of data to train models …
Evolving Agritech: Implementing Federated Learning & CNN for Parsley Leaf Disease Detection
This study investigates a unique approach that combines federated learning with a
Convolutional Neural Network (CNN) to identify illnesses of the parsley leaf. It illustrates the …
Convolutional Neural Network (CNN) to identify illnesses of the parsley leaf. It illustrates the …
Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks
The spread of plant diseases negatively impacts agricultural output considerably,
demanding quick, accurate, and reliable detection techniques. This paper presents a …
demanding quick, accurate, and reliable detection techniques. This paper presents a …
Maize leaf diseases classification using a deep learning algorithm
In India's economy, agriculture is essential. Early detection of plant diseases is crucial to
preventing crop loss and further disease transmission. The traditional method is to physically …
preventing crop loss and further disease transmission. The traditional method is to physically …
Federated Learning CNN's in Agriculture: Unveiling Disease Severity Analysis of Java Plum Leaf's
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 …
five severity categories using an FL_CNN. The study tackles the primary difficulty of accurate …
Federated Learning CNN for Broccoli Leaf Disease Control: A Path to Sustainable Farming
A federated learning approach using convolutional neural networks (CNNs) for broccoli
leaves' disease classification is described in our study. Here are a few highlights from the …
leaves' disease classification is described in our study. Here are a few highlights from the …
[HTML][HTML] The fast detection of crop disease leaves based on Single-Channel gravitational kernel density clustering
Y Ren, Q Li, Z Liu - Applied Sciences, 2023 - mdpi.com
Plant diseases and pests may seriously affect the yield of crops and even threaten the
survival of human beings. The characteristics of plant diseases and insect pests are mainly …
survival of human beings. The characteristics of plant diseases and insect pests are mainly …
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN
Pomegranate leaf diseases offer severe obstacles to agricultural output, calling for quick and
efficient means of identification. The convolutional neural networks (CNNs) and federated …
efficient means of identification. The convolutional neural networks (CNNs) and federated …