Harnessing Artificial Intelligence, Machine Learning, and Drone Technologies for Climate Change Monitoring and Mitigation
気候変動の監視と緩和のための人工知能、機械学習、ドローン技術の活用 (AI 翻訳)
Dr. Mala. C. Patil, Dr. A. M. Nageswara Yogi
🤖 gxceed AI 要約
日本語
本論文は、気候変動の監視と緩和におけるAI、機械学習、ドローンの相乗的利用を探求する。ドローンが提供する高解像度のリアルタイムデータをAI/MLで解析し、パターン検出や環境変化予測、気候モデルの精度向上を実現する。森林伐採追跡、温室効果ガス排出監視、災害影響評価などへの応用が示され、スケーラブルで費用対効果の高いソリューションを提案する。
English
This paper explores the synergistic use of AI, ML, and drones for climate change monitoring and mitigation. Drones provide high-resolution real-time data from hard-to-reach areas, which AI/ML processes to detect patterns, predict changes, and improve climate models. Applications include deforestation tracking, GHG monitoring, and disaster impact assessment, offering scalable, cost-effective solutions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本は気候変動監視技術の導入が進んでおり、本稿の知見は国内の森林管理や災害対策に応用可能。ただし、具体的な政策連動や規制枠組みに関する言及はなく、日本のGX文脈では一般的な参考資料に留まる。
In the global GX context
Globally, AI and drone technologies are increasingly integrated into climate observation systems. This review provides a broad overview but lacks empirical depth or policy analysis, making it a useful primer rather than a groundbreaking contribution.
👥 読者別の含意
🔬研究者:Offers a concise overview of AI/ML/drone applications in climate science, useful for context but not novel.
🏢実務担当者:Highlights potential use cases for corporate sustainability teams considering drone-based monitoring for emissions or supply chains.
🏛政策担当者:Suggests areas where regulatory support for drone and AI deployment could enhance climate monitoring infrastructure.
📄 Abstract（原文）
The accelerating pace of climate change necessitates innovative tools and technologies to enhance our understanding, monitoring, and mitigation strategies. Artificial Intelligence (AI), Machine Learning (ML), and Unmanned Aerial Vehicles (UAVs), commonly known as drones, are emerging as powerful allies in climate research. This ABSTRACT explores the synergistic use of AI and ML algorithms with drone technology to collect, analyze, and interpret vast and complex environmental data. Drones provide high-resolution, real-time data from hard-to-reach or hazardous regions, such as glaciers, forests, and oceans. When combined with AI and ML, this data can be processed to detect patterns, predict environmental changes, and improve the accuracy of climate models. Applications include monitoring deforestation, tracking greenhouse gas emissions, studying atmospheric conditions, and assessing the impact of natural disasters. The integration of these technologies represents a transformative shift in climate science, offering scalable, cost-effective, and precise solutions for global environmental monitoring and decision-making.
🔗 Provenance — このレコードを発見したソース
- openalex https://www.ijert.org/harnessing-artificial-intelligence-machine-learning-and-drone-technologies-for-climate-change-monitoring-and-mitigationfirst seen 2026-05-23 05:03:57 · last seen 2026-06-03 04:42:45
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。