[HTML][HTML] The role of industry 4.0 in advancing sustainability development: A focus review in the United Arab Emirates

A Alhammadi, I Alsyouf, C Semeraro… - Cleaner Engineering and …, 2023 - Elsevier
In recent years, the widespread adoption of Industry 4.0 technologies has significantly
enhanced sustainability performance and addressed environmental concerns for …

Architectural threats to security and privacy: a challenge for internet of things (IoT) applications

Y Khan, MBM Su'ud, MM Alam, SF Ahmad, NA Salim… - Electronics, 2022 - mdpi.com
The internet of things (IoT) is one of the growing platforms of the current era that has
encircled a large population into its domain, and life appears to be useless without adopting …

An optimized CNN-based intrusion detection system for reducing risks in smart farming

A El-Ghamry, A Darwish, AE Hassanien - Internet of Things, 2023 - Elsevier
Smart farming is a well-known and superior method of managing a farm, becoming more
prevalent in today's contemporary agricultural practices. Crops are monitored for their …

Crop prediction model using machine learning algorithms

E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com
Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection

V Sharma, AK Tripathi, H Mittal - Ecological informatics, 2023 - Elsevier
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

Soil Quality Prediction in Context Learning Approaches Using Deep Learning and Blockchain for Smart Agriculture

PR Kumar, S Meenakshi, S Shalini, SR Devi… - … AI, Blockchain, and E …, 2023 - igi-global.com
The integration of deep learning and blockchain technologies has the potential to
revolutionize soil quality prediction in smart agriculture. Deep learning models, like neural …

[HTML][HTML] A concept for application of integrated digital technologies to enhance future smart agricultural systems

G Gebresenbet, T Bosona, D Patterson… - Smart agricultural …, 2023 - Elsevier
Future agricultural systems should increase productivity and sustainability of food production
and supply. For this, integrated and efficient capture, management, sharing, and use of …

A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field

MA Ali, RK Dhanaraj, A Nayyar - Microprocessors and Microsystems, 2023 - Elsevier
The agricultural industry has enormous potential to meet the world's growing need for
nutritious and healthful food. However, pests destroy a significant portion of the harvest and …

[PDF][PDF] AI in agriculture: A comparative review of developments in the USA and Africa

OB Akintuyi - Research Journal of Science and Engineering, 2024 - oarjst.com
This comparative review explores the advancements and applications of Artificial
Intelligence (AI) in agriculture, focusing on the developments in the United States (USA) and …

Monitoring of grain crops nitrogen status from uav multispectral images coupled with deep learning approaches

I Blekanov, A Molin, D Zhang, E Mitrofanov… - … and Electronics in …, 2023 - Elsevier
Effective nitrogen nutrition is vital for better crop yield. In order to get the maximum yield from
a field, nutrition must be spread evenly among all crops. Therefore, this paper proposes a …