Insect pest monitoring with camera-equipped traps: strengths and limitations
M Preti, F Verheggen, S Angeli - Journal of pest science, 2021 - Springer
Integrated pest management relies on insect pest monitoring to support the decision of
counteracting a given level of infestation and to select the adequate control method. The …
counteracting a given level of infestation and to select the adequate control method. The …
Air quality prediction in smart cities using machine learning technologies based on sensor data: a review
The influence of machine learning technologies is rapidly increasing and penetrating almost
in every field, and air pollution prediction is not being excluded from those fields. This paper …
in every field, and air pollution prediction is not being excluded from those fields. This paper …
Contribution of remote sensing technologies to a holistic coastal and marine environmental management framework: a review
Coastal and marine management require the evaluation of multiple environmental threats
and issues. However, there are gaps in the necessary data and poor access or …
and issues. However, there are gaps in the necessary data and poor access or …
Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
An IoT platform based on microservices and serverless paradigms for smart farming purposes
Nowadays, the concept of “Everything is connected to Everything” has spread to reach
increasingly diverse scenarios, due to the benefits of constantly being able to know, in real …
increasingly diverse scenarios, due to the benefits of constantly being able to know, in real …
[HTML][HTML] An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment
Abstract Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
From spatial data infrastructures to data spaces—A technological perspective on the evolution of European SDIs
The availability of timely, accessible and well documented data plays a central role in the
process of digital transformation in our societies and businesses. Considering this, the …
process of digital transformation in our societies and businesses. Considering this, the …
The integration of WoT and edge computing: Issues and challenges
The Web of Things is an improvement on the Internet of Things (IoT) that incorporates smart
objects into both the web architecture (application) and the internet (network). WoT …
objects into both the web architecture (application) and the internet (network). WoT …
[HTML][HTML] Destination Earth–A digital twin in support of climate services
Abstract The European Destination Earth (DestinE) initiative aims at implementing a digital
twin of the Earth system. DestinE combines high-end physical with impact science enabled …
twin of the Earth system. DestinE combines high-end physical with impact science enabled …
Towards convergence of IoT and blockchain for secure supply chain transaction
Supply chain management (SCM) is essential for a company's faster, efficient, and effective
product life cycle. However, the current SCM systems are insufficient to provide product …
product life cycle. However, the current SCM systems are insufficient to provide product …