[HTML][HTML] The role of industry 4.0 in advancing sustainability development: A focus review in the United Arab Emirates
In recent years, the widespread adoption of Industry 4.0 technologies has significantly
enhanced sustainability performance and addressed environmental concerns for …
enhanced sustainability performance and addressed environmental concerns for …
Architectural threats to security and privacy: a challenge for internet of things (IoT) applications
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 …
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
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 …
prevalent in today's contemporary agricultural practices. Crops are monitored for their …
Crop prediction model using machine learning algorithms
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
a field, nutrition must be spread evenly among all crops. Therefore, this paper proposes a …