AI-Driven Decarbonization in Agri-Food Cold Chains With Smart Logistics and Renewable Energy
スマートロジスティクスと再生可能エネルギーによる農産食品コールドチェーンのAI駆動脱炭素化 (AI 翻訳)
Zoya Naaz, Vaibhav Sharma, Akshay Raj, Zeba Rani
🤖 gxceed AI 要約
日本語
本論文は、人工知能と再生可能エネルギーを統合し、農産食品の国際輸送におけるコールドチェーンの脱炭素化を検討。太陽光発電倉庫でのMPPTアルゴリズム、予測分析やデジタルツインによる通関遅延防止などを提案し、Scope3排出削減と国連SDGs達成に貢献する道筋を示す。
English
This chapter explores integrating AI with renewable energy to decarbonize international cold chains for perishable goods. It investigates MPPT algorithms in solar-powered warehousing and uses predictive analytics and digital twins to prevent spoilage and customs delays. The study outlines a pathway to minimize Scope 3 emissions aligned with UN SDGs, providing actionable strategies for stakeholders.
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
日本では農産物輸出拡大が政策課題であり、コールドチェーンの効率化と脱炭素化は喫緊のテーマ。本論文のAI・再生可能エネルギー活用は、日本の食品業界におけるSSBJ対応や環境報告の実践に示唆を与える。
In the global GX context
Global cold chains are a significant source of Scope 3 emissions, and this paper offers a concrete framework combining AI, renewable energy, and digital twins. It directly supports TCFD/ISSB-aligned disclosure by addressing supply chain decarbonization and resilience, relevant for multinational companies and logistics providers.
👥 読者別の含意
🔬研究者:Provides a novel integration of MPPT, digital twins, and predictive analytics for cold chain decarbonization, opening avenues for empirical validation.
🏢実務担当者:Offers actionable strategies for integrating AI and solar power into cold chain logistics to reduce Scope 3 emissions and improve resilience.
🏛政策担当者:Aligns with UN SDGs and provides a scalable model for trade policy supporting sustainable cold chain infrastructure.
📄 Abstract（原文）
International transport of perishable goods currently struggles with high energy consumption and food loss due to supply chain inefficiencies. This chapter explores merging artificial intelligence with renewable energy to build a sustainable global cold chain. The authors specifically investigate Maximum Power Point Tracking (MPPT) algorithms in solar-powered warehousing to cut reliance on fossil-fuel generators. Additionally, the text analyzes how predictive analytics and digital twins can forecast customs delays and prevent spoilage. By aligning these interventions with the UN Sustainable Development Goals, the study outlines a viable decarbonization pathway. These strategies provide stakeholders with actionable methods to minimize Scope 3 emissions and ensure the resilience of cross-border food trade.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.4018/979-8-3373-7847-3.ch008first seen 2026-05-14 21:11:43
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