Artificial Intelligence Applications in Animal Production Systems for Climate Resilience and Sustainability: A Comprehensive Review
気候レジリエンスと持続可能性のための畜産システムにおける人工知能応用：包括的レビュー (AI 翻訳)
Ahmed A. A. Abdel-Wareth, Ahmed A. Ahmed, Mohamed O. Taqi, Md Salahudin, Jayant Lohakare
🤖 gxceed AI 要約
日本語
気候変動と資源枯渇の中で、畜産の持続可能性向上にAI（機械学習、センサー技術等）が果たす役割を体系的にレビュー。温室効果ガス削減、飼料効率改善、疾病予防、福祉向上などへの応用を整理し、データ駆動型農場管理の可能性と課題を提示する。
English
A comprehensive review of AI applications (machine learning, sensors, data analytics) in livestock farming for climate resilience and sustainability. Covers GHG mitigation, feed efficiency, disease prevention, and animal welfare, highlighting data-driven decision-making to reduce environmental footprint while maintaining productivity.
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
日本は畜産由来のGHG削減が課題であり、本レビューはAI導入による精密畜産の可能性を示す。SSBJや有報での気候関連開示が進む中、畜産事業者の排出量管理や効率化に示唆を与える。
In the global GX context
As livestock contributes ~14.5% of global GHGs, this review demonstrates how AI can enable climate-smart agriculture. Aligns with TCFD/ISSB's push for disclosure of climate risks and opportunities in food production, offering a roadmap for tech adoption in the sector.
👥 読者別の含意
🔬研究者:Provides a structured overview of AI use cases in livestock sustainability, identifying research gaps and future directions.
🏢実務担当者:Lists practical AI tools for improving feed efficiency, health monitoring, and reducing environmental impact on farms.
🏛政策担当者:Highlights how AI can support national GHG reduction targets in agriculture, informing subsidy and tech adoption policies.
📄 Abstract（原文）
The agricultural sector, particularly animal production, faces numerous unprecedented challenges driven by climate change, resource depletion, and an ever-growing global demand for quality food. These challenges are further compounded by the increasing environmental impact of livestock farming, including greenhouse gas emissions, overuse of water and land resources, and the destruction of vital ecosystems. Ensuring the sustainability of animal production systems while mitigating the negative environmental impacts of these factors is essential for future global food security. As the demand for animal-derived products continues to rise, there is a pressing need for innovations that can enhance productivity without compromising environmental integrity or animal welfare. Artificial intelligence (AI) has emerged as a transformative technology with the potential to revolutionize the animal production industry. AI-driven solutions offer promising avenues for optimizing production efficiency, enhancing animal health and welfare, and reducing the environmental footprint of livestock farming. Machine learning, sensor technologies, and advanced data analytics are being increasingly utilized to monitor and predict various aspects of animal farming, such as feed efficiency, disease prevention, and climate resilience. These technologies enable farmers to make data-driven decisions, fostering more sustainable and environmentally responsible practices. This review examines the integration of AI into animal production systems, emphasizing its applications in climate change mitigation, resource management, and advancing sustainability. The discussion addresses how AI technologies can be utilized to improve productivity while minimizing environmental impact and enhancing animal welfare. Additionally, the paper outlines future opportunities, challenges, and potential barriers to integrating AI technologies into livestock farming, thereby ensuring long-term sustainability amid global challenges.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/agriculture16111146first seen 2026-06-13 04:38:05
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。