Tree-to-Me: Standards-Driven Traceability for Farm-Level Visibility
Tree-to-Me: 農場レベルの可視化のための標準駆動型トレーサビリティ (AI 翻訳)
Y.S. Cho, Arbind Agrahari Baniya, Kieran Murphy
🤖 gxceed AI 要約
日本語
本研究は、園芸農業における農場レベルのイベントトレーサビリティを実現するフレームワークを提案する。グローバルデータ標準を活用し、灌漑や収穫などのイベントを分散型IDと安全なデータ共有で記録する。ビクトリア州の農場での試験と国際輸出のパイロットで有効性を示し、Scope3排出報告などのESG要件に対応する。
English
This study proposes a traceability framework for horticulture using global data standards to capture on-farm events with decentralized identification and secure sharing. Tested on Victorian farms and an international export pilot, it supports Scope 3 reporting and sustainability claims via verifiable credentials, with potential for broader agricultural application.
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、SSBJ開示やScope3算定が進む中、農産物サプライチェーンの一次データ取得が課題。本フレームワークは、農場レベルの可視化を通じて、日本の農業法人や食品企業のESG情報開示を支援する可能性がある。
In the global GX context
Globally, this addresses the need for primary data in Scope 3 reporting and ESG compliance, aligning with ISSB and CSRD requirements. It offers a scalable model for supply chain transparency, particularly for agricultural exports, and integrates with emerging technologies like digital twins.
👥 読者別の含意
🔬研究者:Provides a framework for farm-level traceability that can be extended to other commodities and integrated with digital twins.
🏢実務担当者:Offers a tested system for capturing on-farm data to support sustainability claims and Scope 3 reporting.
🏛政策担当者:Demonstrates how data standards and verifiable credentials can enhance agricultural supply chain transparency.
📄 Abstract（原文）
Traditional horticultural information systems lack fine-grained, transparent on-farm event traceability, often providing only high-level post-harvest summaries. These systems also fail to standardise and integrate diverse data sources, ensure data privacy, and scale effectively to meet the demands of modern agriculture. Concurrently, rising requirements for global environmental, social, and governance (ESG) compliance, notably Scope 3 emissions reporting, are driving the need for farm-level visibility. To address these gaps, this study proposes a novel traceability framework tailored to horticulture, leveraging global data standards. The system captures key on-farm events (e.g., irrigation, harvesting, and chemical applications) at varied resolutions, using decentralised identification, secure data-sharing protocols, and farmer-controlled access. Built on a progressive Web application with microservice-enabled cloud infrastructure, the platform integrates dynamic APIs and digital links to connect on-farm operations and external supply chains, resolving farm-level data bottlenecks. Initial testing on Victorian farms demonstrates its scalability potential. Pilot studies further validate its on-farm interoperability and support for sustainability claims through digitally verifiable credentials for an international horticultural export case study. The system also provides a tested baseline for integrating data to and from emerging technologies, such as farm robotics and digital twins, with potential for broader application across agricultural commodities.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/agronomy15051074first seen 2026-08-02 18:06:30 · last seen 2026-08-02 18:07:21
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