IYTIMS A Proactive, AI-Supported Autonomous System Framework for Early Forest Fire Detection and Suppression

Wildfires are no longer just a seasonal threat; they are a persistent global crisis. Fueled by a changing climate, they drive a dangerous feedback loop that damages ecosystems and threatens public health. Today's wildfire management strategies, despite best efforts, are fundamentally reactive and often too slow. This paper introduces IYTIMS (Intelligent Wildfire Tactical Intervention and Management System), a new strategy built on proactive prevention. Our solution is an autonomous, multi-layered drone system designed to detect and extinguish fires at the moment of inception. The IYTIMS framework is built on three pillars: (1) a smart reconnaissance fleet that uses AI to assess fire risk in real time; (2) a rapid-response unit that deploys BORTEX, a unique boron-based fire suppressant; and (3) a fully autonomous, solar-powered infrastructure that allows for continuous, 24/7 operation. Here, we detail the IYTIMS architecture, break down its core technologies, and present a clear roadmap for implementation. We believe this is a scalable and sustainable model for the future of ecological protection.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17362630
Primary Topic
Publishing and Scholarly Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IYTIMS A Proactive, AI-Supported Autonomous System Framework for Early Forest Fire Detection and Suppression

Zenodo (CERN European Organization for Nuclear Research)
Publishing and Scholarly Communication
article

IYTIMS A Proactive, AI-Supported Autonomous System Framework for Early Forest Fire Detection and Suppression

article en

Abstract

Wildfires are no longer just a seasonal threat; they are a persistent global crisis. Fueled by a changing climate, they drive a dangerous feedback loop that damages ecosystems and threatens public health. Today's wildfire management strategies, despite best efforts, are fundamentally reactive and often too slow. This paper introduces IYTIMS (Intelligent Wildfire Tactical Intervention and Management System), a new strategy built on proactive prevention. Our solution is an autonomous, multi-layered drone system designed to detect and extinguish fires at the moment of inception. The IYTIMS framework is built on three pillars: (1) a smart reconnaissance fleet that uses AI to assess fire risk in real time; (2) a rapid-response unit that deploys BORTEX, a unique boron-based fire suppressant; and (3) a fully autonomous, solar-powered infrastructure that allows for continuous, 24/7 operation. Here, we detail the IYTIMS architecture, break down its core technologies, and present a clear roadmap for implementation. We believe this is a scalable and sustainable model for the future of ecological protection.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 32%
Publishing and Scholarly Communication
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.