Navigating the sea of data: a comprehensive review on data analysis in maritime IoT applications

I Durlik, T Miller, D Cembrowska-Lech, A Krzemińska… - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is significantly transforming the maritime industry, enabling the
generation of vast amounts of data that can drive operational efficiency, safety, and …

[HTML][HTML] Towards sustainable agriculture: Harnessing AI for global food security

DK Pandey, R Mishra - Artificial Intelligence in Agriculture, 2024 - Elsevier
The issue of food security continues to be a prominent global concern, affecting a significant
number of individuals who experience the adverse effects of hunger and malnutrition. The …

Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast …

MA Ali, AK Sharma, RK Dhanaraj - Computers and Electrical Engineering, 2024 - Elsevier
Every country's foundation is its agricultural industry, which drives about half of global
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …

Detection of cotton leaf curl disease's susceptibility scale level based on deep learning

R Nazeer, S Ali, Z Hu, GJ Ansari, M Al-Razgan… - Journal of Cloud …, 2024 - Springer
Cotton, a crucial cash crop in Pakistan, faces persistent threats from diseases, notably the
Cotton Leaf Curl Virus (CLCuV). Detecting these diseases accurately and early is vital for …

Improved artificial ecosystem optimizer with deep-learning-based insect detection and classification for agricultural sector

M Aljebreen, HA Mengash, F Kouki, A Motwakel - Sustainability, 2023 - mdpi.com
The agricultural industry has the potential to meet the increasing food production
requirements and supply nutritious and healthy food products. Since the Internet of Things …

Artificial Intelligence-powered Visual Internet of things in Smart cities: a comprehensive review

O El Ghati, O Alaoui-Fdili, O Chahbouni… - … Informatics and Systems, 2024 - Elsevier
The field of smart cities has seen significant advancements in recent years to improve
citizens' quality of life. Technologies such as the Internet of Things (IoT) and Edge …

A Lightweight Rice Pest Detection Algorithm Using Improved Attention Mechanism and YOLOv8

J Yin, P Huang, D Xiao, B Zhang - Agriculture, 2024 - mdpi.com
Intelligent pest detection algorithms are capable of effectively detecting and recognizing
agricultural pests, providing important recommendations for field pest control. However …

[HTML][HTML] Digital Twin System of Pest Management Driven by Data and Model Fusion

M Dai, Y Shen, X Li, J Liu, S Zhang, H Miao - Agriculture, 2024 - mdpi.com
Protecting crops from pests is a major issue in the current agricultural production system.
The agricultural digital twin system, as an emerging product of modern agricultural …

[HTML][HTML] Unravelling the use of Artificial Intelligence in Management of Insect Pests

B Kariyanna, M Sowjanya - Smart Agricultural Technology, 2024 - Elsevier
As per the FAO, the insect pest causes 30 to 40 percent loss every year across the globe.
The identification, classification and management of insect pest is very important to avoid …

Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning

AK Bütüner, YS Şahin, A Erdinç… - Journal of Agricultural …, 2024 - dergipark.org.tr
The tomato (Solanum lycopersicum (Solanaceae)) is particularly susceptible to Tuta
absoluta (Meyrick)(Lepidoptera: Gelechiidae), a pest that directly and profoundly influences …