[HTML][HTML] The digitisation of agriculture: a survey of research activities on smart farming
The impulse towards a larger introduction of Information and Communication Technology
(ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large …
(ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large …
[HTML][HTML] Modelling the smart farm
Smart farming envisages the harnessing of Information and Communication Technologies
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
The modular SSN ontology: A joint W3C and OGC standard specifying the semantics of sensors, observations, sampling, and actuation
The joint W3C (World Wide Web Consortium) and OGC (Open Geospatial Consortium)
Spatial Data on the Web (SDW) Working Group developed a set of ontologies to describe …
Spatial Data on the Web (SDW) Working Group developed a set of ontologies to describe …
Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications
With the recent advancement of the Internet of Things (IoT), it is now possible to process a
large number of sensor data streams using different large-scale IoT platforms. These IoT …
large number of sensor data streams using different large-scale IoT platforms. These IoT …
IoT-based strawberry disease prediction system for smart farming
S Kim, M Lee, C Shin - Sensors, 2018 - mdpi.com
Crop diseases cannot be accurately predicted by merely analyzing individual disease
causes. Only through construction of a comprehensive analysis system can users be …
causes. Only through construction of a comprehensive analysis system can users be …
[HTML][HTML] Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle
Timely lameness detection is one of the major and costliest health problems in dairy cattle
that farmers and practitioners haven't yet solved adequately. The primary reason behind this …
that farmers and practitioners haven't yet solved adequately. The primary reason behind this …
Enabling precision agriculture through embedded sensing with artificial intelligence
Artificial intelligence (AI) has smoothly penetrated in a number of monitoring and control
applications including agriculture. However, research efforts toward low-power sensing …
applications including agriculture. However, research efforts toward low-power sensing …
[HTML][HTML] Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil
With the emergence of big data and new data sources, a challenge posed to today's
organizations consists of identifying how to align their decision-making and organizational …
organizations consists of identifying how to align their decision-making and organizational …
Named data networking of things
The Internet of Things (IoT) is a vision for interconnecting all of the world's" things"--from
vehicles to diet scales, smart homes and electrical grids--through a common set of …
vehicles to diet scales, smart homes and electrical grids--through a common set of …
Semantic reasoning for context-aware internet of things applications
Acquiring knowledge from continuous and heterogeneous data streams is a prerequisite for
Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools …
Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools …