ENVIRONMENTAL IMPACT AND MITIGATION APPROACHES IN LIVESTOCK PRODUCTION SYSTEMS
畜産システムにおける環境影響と緩和アプローチ (AI 翻訳)
*Pramod Prabhakar1 and Rajesh Kumar2 *Pramod Prabhakar1 and Rajesh Kumar2
🤖 gxceed AI 要約
日本語
畜産システムは温室効果ガス排出や水質汚染など環境負荷が大きい。本レビューは、AIやIoTを活用したモニタリング、精密給餌、バイオガス回収などの緩和技術を包括的に紹介する。遺伝的改良や民族保存など補完的アプローチも議論される。
English
Livestock systems have significant environmental impacts including GHG emissions and water pollution. This review summarizes mitigation approaches such as AI and IoT monitoring, precision feeding, biogas recovery, and genetic improvements. It also discusses socioeconomic barriers and adaptive solutions like silvopastoral systems.
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
日本の畜産業でもGHG排出削減が急務。本論文で紹介されるAI/IoTモニタリング技術は、企業の排出量把握や削減策の立案に応用可能であり、SSBJ対応にも資する。
In the global GX context
Global livestock emissions are a major source of methane. This review provides a comprehensive overview of mitigation options including AI-driven monitoring, relevant for companies in the food and agriculture sector facing Scope 3 disclosure under ISSB and CSRD.
👥 読者別の含意
🔬研究者:Provides a structured overview of current mitigation technologies and research gaps in livestock systems.
🏢実務担当者:Offers actionable mitigation options such as precision feeding and biogas recovery for livestock operations.
🏛政策担当者:Highlights the need for integrated policies supporting climate-smart livestock practices and technology adoption.
📄 Abstract（原文）
Abstract: Although livestock production methods have a significant negative impact on the environment, they are essential to rural livelihoods, economic growth, and global food security. The environmental effects of livestock systems and mitigation techniques are summarized in this review, with particular attention paid to greenhouse gas emissions, land degradation, water pollution, biodiversity loss, and antibiotic resistance. While pig and poultry farms produce large volumes of ammonia and nutrient-rich effluents that damage water resources, ruminant animals like cattle and buffalo are important contributors to methane emissions through enteric fermentation. Whereas vast pastoral systems frequently cause overgrazing and desertification in delicate ecosystems, intensive systems hasten land-use change for feed crop cultivation, causing soil erosion and forest fragmentation. Anaerobic digestion, precision feeding, low emission diets, and biogas recovery are examples of technological treatments that have shown promise in reducing environmental footprints. The conservation of native breeds and genetic development initiatives aimed at improving feed efficiency and methane-reducing characteristics provide complimentary approaches. Real-time monitoring and emission reduction at the farm level are made possible by the combination of artificial intelligence (AI), microbiome engineering, and the Internet of Things (IoT). The adoption of climate-smart livestock practices is influenced by socioeconomic factors such market-driven sustainability, gender dynamics, and livelihood dependency. High technology costs, a dearth of emission data, institutional fragmentation, and smallholders' behavioral resistance are some of the difficulties. Adaptive solutions in line with ecological integrity and productivity are offered by climate resilient infrastructure and silvopastoral systems. Keywords: Livestock, Sustainability, Emissions, Biodiversity, Manure, Grazing, Innovation
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20966359first seen 2026-07-18 05:24:29
🔔 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。