Artificial intelligence technology in the agricultural sector: A systematic literature review

E Elbasi, N Mostafa, Z AlArnaout, AI Zreikat… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

[HTML][HTML] Outlier Detection in Streaming Data for Telecommunications and Industrial Applications: A Survey

RN Mfondoum, A Ivanov, P Koleva, V Poulkov… - Electronics, 2024 - mdpi.com
Streaming data are present all around us. From traditional radio systems streaming audio to
today's connected end-user devices constantly sending information or accessing services …

{ARGUS}:{Context-Based} detection of stealthy {IoT} infiltration attacks

P Rieger, M Chilese, R Mohamed, M Miettinen… - 32nd USENIX Security …, 2023 - usenix.org
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices
control various functions in smart homes and buildings, smart cities, and smart factories …

Malicious detection model with artificial neural network in IoT-based smart farming security

M Mohy-eddine, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) tunes modern technologies, including wireless sensors
and cloud computing, to create a homogeneous and highly effective environment. Therefore …

Anomaly detection for internet of things time series data using generative adversarial networks with attention mechanism in smart agriculture

W Cheng, T Ma, X Wang, G Wang - Frontiers in Plant Science, 2022 - frontiersin.org
More recently, smart agriculture has received widespread attention, which is a deep
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …

[HTML][HTML] Anomaly detection for agricultural vehicles using autoencoders

E Mujkic, MP Philipsen, TB Moeslund, MP Christiansen… - Sensors, 2022 - mdpi.com
The safe in-field operation of autonomous agricultural vehicles requires detecting all objects
that pose a risk of collision. Current vision-based algorithms for object detection and …

IoT-enabled smart agriculture: security issues and applications

M Mohy-eddine, A Guezzaz, S Benkirane… - … Conference on Artificial …, 2022 - Springer
Abstract The Internet of Things (IoT) harmonizes existing technologies, such as wireless
sensors and cloud computing, to form a homogeneous and powerful environment. Hence …

TimeTector: A twin-branch approach for unsupervised anomaly detection in livestock sensor noisy data (TT-TBAD)

JK Kakar, S Hussain, SC Kim, H Kim - Sensors, 2024 - mdpi.com
Unsupervised anomaly detection in multivariate time series sensor data is a complex task
with diverse applications in different domains such as livestock farming and agriculture …

Unraveling anomalies in time: Unsupervised discovery and isolation of anomalous behavior in bio-regenerative life support system telemetry

F Rewicki, J Gawlikowski, J Niebling… - Joint European Conference …, 2024 - Springer
The detection of abnormal or critical system states is essential in condition monitoring. While
much attention is given to promptly identifying anomalies, a retrospective analysis of these …

Unmanned agricultural tractors in private mobile networks

M Heikkilä, J Suomalainen, O Saukko, T Kippola… - Network, 2021 - mdpi.com
The need for high-quality communications networks is urgent in data-based farming. A
particular challenge is how to achieve reliable, cost-efficient, secure, and broadband last …