AI-Assisted Circular Resource Planning for Small Mixed Farms: A Conceptual Framework and Ontario Research Proposal

This concept paper introduces the AI-Assisted Circular Farm Resource Framework (AICFRF), a human-governed planning system intended to help small mixed farms identify and coordinate safe local exchanges of resources, labour, equipment and agricultural materials. The paper also proposes a 24-farm Ontario feasibility study comparing standard farm planning, human-managed resource sharing and AI-assisted resource sharing. Proposed outcomes include purchased-input costs, exchange completion, coordination time, environmental effects, farm productivity, usability and participant trust. The framework keeps farmers in control of all decisions and includes safeguards for privacy, safety, regulatory compliance and responsible AI use. This publication presents a conceptual framework and research proposal. It does not report completed experimental results and has not undergone formal peer review.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-22
DOI
https://doi.org/10.5281/zenodo.21498098
Primary Topic
Smart Agriculture and AI
Type
preprint
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preprint

AI-Assisted Circular Resource Planning for Small Mixed Farms: A Conceptual Framework and Ontario Research Proposal

Jaryd Bellas-Menzie
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
preprint

AI-Assisted Circular Resource Planning for Small Mixed Farms: A Conceptual Framework and Ontario Research Proposal

Jaryd Bellas-Menzie
preprint en

Abstract

This concept paper introduces the AI-Assisted Circular Farm Resource Framework (AICFRF), a human-governed planning system intended to help small mixed farms identify and coordinate safe local exchanges of resources, labour, equipment and agricultural materials. The paper also proposes a 24-farm Ontario feasibility study comparing standard farm planning, human-managed resource sharing and AI-assisted resource sharing. Proposed outcomes include purchased-input costs, exchange completion, coordination time, environmental effects, farm productivity, usability and participant trust. The framework keeps farmers in control of all decisions and includes safeguards for privacy, safety, regulatory compliance and responsible AI use. This publication presents a conceptual framework and research proposal. It does not report completed experimental results and has not undergone formal peer review.

Zenodo (CERN European Organization for Nuclear Research)
Valore (United States) (US)
Decent work and economic growth
Smart Agriculture and AI
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AI-Assisted Circular Resource Planning for Small Mixed Farms: A Conceptual Framework and Ontario Research Proposal — Jaryd Bellas-Menzie · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS