A systematic review of deep learning techniques for plant diseases

I Pacal, I Kunduracioglu, MH Alma, M Deveci… - Artificial Intelligence …, 2024 - Springer
Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

Feature selection with Optimized XGBoost model-based paddy plant leaf disease classification

RK Dubey, DK Choubey - Multimedia Tools and Applications, 2024 - Springer
Agriculture is the essential source of national income for some nations including India.
Infections in crops/plants are serious causes of reduced quantity and quality of production …

[HTML][HTML] Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree

APAS Rani, NS Singh - Information Processing in Agriculture, 2024 - Elsevier
Pest attack, disease incidence, and nutrient deficiency are the major factors limiting the yield
of paddy. Therefore, the paper proposes a classification system for the identification of pest …

Paddy Leaf Disease Classification Using EfficientNet B4 with Compound Scaling and Swish Activation: A Deep Learning Approach

J Padhi, L Korada, A Dash, PK Sethy, SK Behera… - IEEE …, 2024 - ieeexplore.ieee.org
This research presents an advanced paddy disease classification model utilizing the
EfficientNet B4 deep learning architecture trained on the publicly available Paddy Doctor …

Rice Impact Illness Acknowledgment Employing a Profound Convolutional Neural Arrange

RK Dubey, DK Choubey - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
Rice illness acknowledgment is vital in robotized rice illness conclusion frameworks. At
display, profound convolutional neural arrange (CNN) is for most often regarded as the …

Identifying False News Using Enhanced Passive Aggressive Classifier Methods

R Dubey, RK Dubey, S Mishra… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
There were fake news sources and hoaxes even before the Internet. Most people agree that
stories that are made up on the Internet with the goal of deceiving readers are considered …

Identification and Detection of Rice Plant Diseases by Using Neural Network

RK Dubey, DK Choubey - … Conference on Frontiers in Computing and …, 2023 - Springer
The most serious disease that can affect paddy plants is blast disease. All over the world, it
results in enormous yield losses. A fungus that attacks the plant's leaves, nodes, and grains …

Automatic Train Overpass Using Camera and Load Sensors and Obstacle Detection

AK Sharma, RK Dubey, S Mishra… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In India, the most used means of transportation is rail. Enhancements are required to
modern technology in order to make it safer for the general population. In this context, the …

Cyber attack Detection Using Machine Learning Techniques

RK Dubey, N Dandotiya, A Sharma… - … Conference on ICT …, 2023 - ieeexplore.ieee.org
Cyber security professionals look more closely at risk assessment and provide strategies to
lower it. The field of cyber defense was created with the intention of creating effective …

Design Partition in an Active to Imbalanced Excitation/Inhibition Hippocampus Neural Arrange

RK Dubey, A Sharma, S Mishra… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Data storage in the hippocampus depends critically on the dentate gyrus's effective design
division. In our demonstration, recent data on the entorhinal cortex, dentate gyrus, and …