Recent advancements and challenges of AIoT application in smart agriculture: A review

HK Adli, MA Remli, KNS Wan Salihin Wong, NA Ismail… - Sensors, 2023 - mdpi.com
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …

A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis

S Muneer, U Farooq, A Athar… - Journal of …, 2024 - Wiley Online Library
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

[Retracted] Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection

AS Zamani, L Anand, KP Rane, P Prabhu… - Journal of Food …, 2022 - Wiley Online Library
The aim of this study is to evaluate infected leaf disease images. Precision agriculture's
automatic leaf disease detection system employs image acquisition, image processing …

An improved agro deep learning model for detection of Panama wilts disease in banana leaves

R Sangeetha, J Logeshwaran, J Rocher, J Lloret - AgriEngineering, 2023 - mdpi.com
Recently, Panama wilt disease that attacks banana leaves has caused enormous economic
losses to farmers. Early detection of this disease and necessary preventive measures can …

An ensemble learning based intrusion detection model for industrial IoT security

M Mohy-Eddine, A Guezzaz… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …

Multi head self-attention gated graph convolutional network based multi‑attack intrusion detection in MANET

R Reka, R Karthick, RS Ram, G Singh - Computers & Security, 2024 - Elsevier
Designing of intrusion detection system (IDS), and mobile ad hoc networks (MANET)
prevention technique with examined detection rate, memory consumption with minimum …

[Retracted] Effective Image Processing and Segmentation‐Based Machine Learning Techniques for Diagnosis of Breast Cancer

S Chaudhury, AN Krishna, S Gupta… - … Methods in Medicine, 2022 - Wiley Online Library
Breast cancer is the second leading cause of death among women, behind only heart
disease. However, despite the high incidence and mortality rates associated with breast …

[Retracted] Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease

AS Ansari, M Jawarneh, M Ritonga… - Journal of Food …, 2022 - Wiley Online Library
In recent years, agricultural image processing research has been a key emphasis. Image
processing techniques are used by computers to analyze images. New advancements in …

[Retracted] Multisensor Data and Cross‐Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System

VKS Maddala, K Jayarajan, M Braveen… - Journal of Food …, 2022 - Wiley Online Library
Many approaches for crop yield prediction were analyzed by countries using remote sensing
data, but the information obtained was less successful due to insufficient data gathered due …

Machine Learning‐and Feature Selection‐Enabled Framework for Accurate Crop Yield Prediction

S Gupta, A Geetha, KS Sankaran… - Journal of Food …, 2022 - Wiley Online Library
Agriculture is crucial for the existence of humankind. Agriculture provides a significant
portion of the income for many people all around the world. Additionally, it provides a large …