[PDF][PDF] Deep learning based identification of Pepper (Capsicum annuum L.) diseases: A review

CH Kim, MNR Samsuzzaman, K Ali… - Precision …, 2023 - researchgate.net
Recent advancements in plant disease identification have leveraged image processing and
deep learning techniques for automated detection. Visual deep learning systems are …

Estimation of yellow rust severity in wheat using visible and thermal imaging coupled with machine learning models

RN Singh, P Krishnan, VK Singh, B Das - Geocarto International, 2023 - Taylor & Francis
Reliable and quick estimation of wheat yellow rust (WYR) severity in field is essential to
manage the disease and minimize the losses. Field experiments were conducted during …

Deep learning meets agriculture: A faster RCNN based approach to pepper leaf blight disease detection and multi-classification

R Sharma, V Kukreja, D Bordoloi - 2023 4th International …, 2023 - ieeexplore.ieee.org
Pepper Leaf Blight Disease (PLBD) is a widespread plant ailment that has a severe impact
on pepper cultivation across the globe. The rapid detection and precise classification of …

GSAtt-CMNetV3: Pepper leaf disease classification using osprey optimization

SSA Begum, H Syed - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, the demand for pepper keeps on increasing with the increase in human
population. Accurate diagnosis, flawless identification, and early detection of the lesions will …

CSIU-Net+: Pepper and corn leaves classification and severity identification using hybrid optimization

SSA Begum, H Syed - Environmental Research Communications, 2024 - iopscience.iop.org
An agricultural product plays a major role in the economical growth of developing countries.
Agricultural products like pepper and corn are the essential crops with respect to human …

A BrainNet (BrN) based new approach to classify brain stroke from CT scan images

D Tripura, I Haque, M Dutta, S Dev… - … on Advancement in …, 2023 - ieeexplore.ieee.org
Worldwide, brain stroke is known as the 2nd leading cause of death, and based on Indian
history, three people have suffered every minute. There are mainly two different types of …

A Hybrid Deep Learning Approach for Severity Classification of Pepper Leaf Mosaic Virus

A Kaur, V Kukreja, L Gopal, G Verma… - … on Advances in …, 2024 - ieeexplore.ieee.org
The efficient administration of agricultural operations and the maximization of crop output
both depend critically on an accurate assessment of the severity of plant diseases. This …

Implementing CNN and RF Models for Multi-Level Classification: Deciphering Beetroot Aphid Disease Severity

NK Ojha, D Upadhyay, M Manwal… - 2024 5th …, 2024 - ieeexplore.ieee.org
Beetroot aphid infestation is one of the most serious threats to agricultural yield and food
security. In this study, we hope to use machine learning models based on Convolutional …

[PDF][PDF] Comprehensive Analysis of CNN and YOLOv5 Object Detection Model to Classify Phytomedicine Tree's Leaf Disease

MA Islam, I Haque, M Rahaman, T Jahan, SJ Shohan… - 2022 - academia.edu
Phytomedicine is not only known to the poor people of East Bengal and West Bengal as a
medicine but also as a beacon of hope for survival in a diseased life. In this approach …

Next-Gen Hybrid Deep Learning for Accurate Pepper Leaf Mosaic Virus Classification

A Kaur, V Kukreja, L Gopal, G Verma… - … on Intelligent and …, 2024 - ieeexplore.ieee.org
This research presents a new way to sort out the stages of pepper leaf mosaic virus illness
using an advanced learning model. It combines Convolutional Neural Networks (CNN) and …