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Artificial intelligence technology in the agricultural sector: A systematic literature review
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 …
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
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 …
today's connected end-user devices constantly sending information or accessing services …
{ARGUS}:{Context-Based} detection of stealthy {IoT} infiltration attacks
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 …
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
Abstract The Internet of Things (IoT) tunes modern technologies, including wireless sensors
and cloud computing, to create a homogeneous and highly effective environment. Therefore …
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 …
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …
[HTML][HTML] Anomaly detection for agricultural vehicles using autoencoders
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 …
that pose a risk of collision. Current vision-based algorithms for object detection and …
IoT-enabled smart agriculture: security issues and applications
Abstract The Internet of Things (IoT) harmonizes existing technologies, such as wireless
sensors and cloud computing, to form a homogeneous and powerful environment. Hence …
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)
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 …
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
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 …
much attention is given to promptly identifying anomalies, a retrospective analysis of these …
Unmanned agricultural tractors in private mobile networks
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 …
particular challenge is how to achieve reliable, cost-efficient, secure, and broadband last …