System For Monitoring Forests with Context-Aware Capabilities

A forest fire protection system exemplifies context-aware and proactive responsiveness to potential threats during routine monitoring of forested areas and firefighting operations. We advocate for the development of a context-driven system, which entails deploying a network of sensors across the different sectors of forests. Additionally, we incorporate context-driven and automated negotiation techniques to mitigate forest fire threats. The intelligent decisions facilitated by the system, aimed at supporting users, are the outcome of the proposed context processing.

Authors

Institutions

Publication Details

Journal
Proceedings of the International Conference on Information Systems Development
Published
2024-09-09
DOI
https://doi.org/10.62036/isd.2024.104
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

System For Monitoring Forests with Context-Aware Capabilities

Radosław Klimek
Proceedings of the International Conference on Information Systems Development
Context-Aware Activity Recognition Systems
article

System For Monitoring Forests with Context-Aware Capabilities

Radosław Klimek
article en

Abstract

A forest fire protection system exemplifies context-aware and proactive responsiveness to potential threats during routine monitoring of forested areas and firefighting operations. We advocate for the development of a context-driven system, which entails deploying a network of sensors across the different sectors of forests. Additionally, we incorporate context-driven and automated negotiation techniques to mitigate forest fire threats. The intelligent decisions facilitated by the system, aimed at supporting users, are the outcome of the proposed context processing.

Proceedings of the International Conference on Information Systems Development
Jagiellonian University (PL), AGH University of Krakow (PL)
Climate action
Openalex Percentile: Top 86%
Context-Aware Activity Recognition Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.