AI-Driven Invoice Processing as a Foundation for Smart Sustainability Reporting

E.J.G.M. Westerhof; H.C.J. Vrolijk; R.M. Robbemond; C.N. Verdouw

AI-Driven Invoice Processing as a Foundation for Smart Sustainability Reporting

Research output: Book/Report › Report › Professional

Abstract

The ‘AI for Future Food Systems’ knowledge base project at WUR investigates the potential and challenges of AI-enabled research infrastructures for shaping pathways towards Future Food Systems. The research focuses on three themes:
A. AI for automation of the research data chain
B. AI for developing, testing and using data-driven research models
C. AI for unlocking research knowledge in natural language.

This paper presents findings from a use case project within the first theme, including two Proof of Concepts (PoCs). Specifically, it explores the use of AI to automate the data chain for farm sustainability monitoring. The study concentrates on the initial stage of this chain: the automated extraction and processing of sustainability accounting data from invoices for the Dutch Farm Sustainability Data Network (FSDN).

Original language	English
Publisher	Wageningen Social & Economic Research
Number of pages	5
Publication status	Published - Dec 2025

Publication series

Name	Publication / Wageningen Social & Economic Research
No.	2016-019

Access to Document

https://edepot.wur.nl/709589

AI for Future Food Systems (KB-53-000-013)
Verdouw, C. (Project Leader)
1/01/25 → 31/12/28
Project: LVVN project

Cite this

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title = "AI-Driven Invoice Processing as a Foundation for Smart Sustainability Reporting",

abstract = "The {\textquoteleft}AI for Future Food Systems{\textquoteright} knowledge base project at WUR investigates the potential and challenges of AI-enabled research infrastructures for shaping pathways towards Future Food Systems. The research focuses on three themes: A. AI for automation of the research data chain B. AI for developing, testing and using data-driven research models C. AI for unlocking research knowledge in natural language. This paper presents findings from a use case project within the first theme, including two Proof of Concepts (PoCs). Specifically, it explores the use of AI to automate the data chain for farm sustainability monitoring. The study concentrates on the initial stage of this chain: the automated extraction and processing of sustainability accounting data from invoices for the Dutch Farm Sustainability Data Network (FSDN).",

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AU - Westerhof, E.J.G.M.

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AU - Robbemond, R.M.

AU - Verdouw, C.N.

PY - 2025/12

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AB - The ‘AI for Future Food Systems’ knowledge base project at WUR investigates the potential and challenges of AI-enabled research infrastructures for shaping pathways towards Future Food Systems. The research focuses on three themes: A. AI for automation of the research data chain B. AI for developing, testing and using data-driven research models C. AI for unlocking research knowledge in natural language. This paper presents findings from a use case project within the first theme, including two Proof of Concepts (PoCs). Specifically, it explores the use of AI to automate the data chain for farm sustainability monitoring. The study concentrates on the initial stage of this chain: the automated extraction and processing of sustainability accounting data from invoices for the Dutch Farm Sustainability Data Network (FSDN).

M3 - Report

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ER -

AI-Driven Invoice Processing as a Foundation for Smart Sustainability Reporting

Abstract

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Projects

AI for Future Food Systems (KB-53-000-013)

Cite this