[Retracted] Hybrid Feature‐Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier

AK Singh, SVN Sreenivasu, U Mahalaxmi… - Journal of Food …, 2022 - Wiley Online Library
Plant diseases are unfavourable factors that cause a significant decrease in the quality and
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …

A novel CNN gap layer for growth prediction of palm tree plantlings

TA Kumar, R Rajmohan, S Adeola Ajagbe, T Gaber… - Plos one, 2023 - journals.plos.org
Monitoring palm tree seedlings and plantlings presents a formidable challenge because of
the microscopic size of these organisms and the absence of distinguishing morphological …

[PDF][PDF] DELM: deep ensemble learning model for multiclass classification of super-resolution leaf disease images

P KAUR, MP SINGH, AM MISHRA… - Turkish Journal of …, 2023 - journals.tubitak.gov.tr
Tomato plant leaf diseases are the main risk factor for plant growth. Detection of diseases at
the initial stage is the main and most complex task for farmers due to common morphological …

Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module

P Radočaj, D Radočaj, G Martinović - Big Data and Cognitive Computing, 2024 - mdpi.com
Due to the projected increase in food production by 70% in 2050, crops should be
additionally protected from diseases and pests to ensure a sufficient food supply. Transfer …

Plant Leaf Disease Prediction and Classification Using Deep Learning

M Belmir, W Difallah, A Ghazli - 2023 International Conference …, 2023 - ieeexplore.ieee.org
One of the primary causes of decreased agricultural production in terms of both quality and
quantity is the prevalence of plant diseases. Plant diseases continuously emerge on plant …

A New Architecture For Diagnosing Pulmonary Thorax Diseases (Covid-19, Pneumonology, Normal) Using Deep Learning Technology

HD Rafik, YF Zoulikha, B Samira - 2023 6th International …, 2023 - ieeexplore.ieee.org
Medical imaging is an efficient field of research because it makes it possible to diagnose
and detect diseases and relieve patients by presenting a remedy or treatment to follow …

Multi-Biometric Iris Recognition System Using Consensus Between Convolutional Neural Network Architectures

DR Hammou, SA Mahmoudi… - International Journal of …, 2022 - igi-global.com
The field of biometrics represents an important domain and is currently undergoing
extensive research to improve data security. Among the most used biometric modalities, we …

A Comprehensive Review and Discussion of Segmentation based Tomato Plant Disease Detection Approaches

S Shrivastav, V Jindal, R Eswarawaka… - 2023 International …, 2023 - ieeexplore.ieee.org
These days, agriculture is essential to human existence, and currently, approximately 70%
of the world's population is engaged in some form of agricultural activity, whether directly or …

Plant Leaf Disease Detection and Classification Using MobileNetV3 and Wavelet Kernel Extreme Learning Machine

BS Shruthi, N Murthy, CS Prakash… - 2024 Third …, 2024 - ieeexplore.ieee.org
Detection of plant disease is the most important aspect in agriculture, aimed at identifying
and diagnosing disease that affect plants. If the plant disease detected earlier, that helps to …

[PDF][PDF] Research Article Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest …

AK Singh, SVN Sreenivasu, U Mahalaxmi, H Sharma… - 2022 - academia.edu
Plant diseases are unfavourable factors that cause a significant decrease in the quality and
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …