Korea — *Act on Fostering and Supporting Smart Farming* + 30%-by-2027 target (Republic of Korea MAFRA, RDA operational)

East-Asia (Korea; Republic of Korea national, multi-provincial implementation)

Korea — Act on Fostering and Supporting Smart Farming

Content

The Act on Fostering and Supporting Smart Farming (Republic of Korea) provides the statutory frame for one of the corpus’s most distinctive national-policy deployments in agrifood AI. The Act’s headline target is to convert 30% of agricultural output to smart-farming systems by 2027.

The Act is operationalised by:

  1. The Smart Farm Innovation Valley cluster programme (covered in units/korea-smart-farm-innovation-valley-rda.md) — four provincial sites (Sangju, Gimje, Milyang, Goheung) operational since 2018 Startup Incubation Centre launch.
  2. The 2025 zonal designations — MAFRA designated four smart-farming fostering zones at the si / county administrative level, expanding beyond the four original Innovation Valley sites.
  3. The Smart Farmland Distribution Centers expansion — 14 locations (2023) → 26 locations (2024) → planned 100 (FFTC 2024 brief).
  4. The Agricultural Robot Demonstration Support Project (Korea Institute of Agricultural Technology Promotion + MAFRA) — supporting vendor-led demonstrations like the Daedong AI Lab Saemangeum Agro-Bio Complex demonstration H2 2025.
  5. MAFRA’s broader agricultural R&D and extension layer — under the RDA umbrella.

Korea.net (state portal) framing of the Act (the corpus’s principal anchor):

“Smart farming to take up 30% of agricultural output by 2027. The Act on Fostering and Supporting Smart Farming has been enacted to convert 30% of agricultural output to smart farming by 2027, [from less than current share].”

OECD 2025 framing — the Act is the policy anchor within Korea’s agricultural policy stack; OECD’s Agricultural Policy Monitoring and Evaluation 2025 (Korea chapter) treats the Act as a primary instrument alongside other MAFRA tools.

Comparison to Japan. Japan’s Act on the Promotion of Smart Agricultural Technology Utilization to Improve Agricultural Productivity (effective October 2024) is the analogous Japan-side instrument — but Japan’s approach is more technology-push (driving adoption) and Korea’s is more succession-pull (driving young-farmer integration). The meta-pattern unit (units/japan-korea-agrifood-ai-pattern.md) surfaces this contrast.

What this unit is doing in the taxonomy

This is a policy-frame unit — the corpus’s pattern, established with India’s units/india-digital-agriculture-mission-agristack.md (state-DPI unit) and units/usda-fy25-26-ai-strategy.md (US federal strategy unit), is to capture state instruments as separate units alongside deployment-units. The Act here is the policy instrument behind the Smart Farm Innovation Valley cluster deployment; the cluster deployment is the operational surface; the Act is the regulatory / fiscal / strategic frame.

Sector position. cross-cutting — policy frame spanning on-farm inputs through distribution.

AI technique class. (cross-cutting — applies to all major technique classes) — the Act is not technique-specific.

Purpose. Multi-purpose:

Region tag. East-Asia (Korea; Republic of Korea national, multi-provincial implementation).

Data governance / rights. mixed / state-stewarded — the Act positions the state as the data-rights anchor; specific per-vendor implementation is opaque.

Activity status. deployed — the statute is active; multiple deployment surfaces are operational.

Maturity verification. V1 — OECD 2025, FFTC, and FAO Digital Villages Initiative independently cite the Act and operational details. The 30%-by-2027 progress metric is V0 (MAFRA-self-reported).

Why it matters for talks

Two primary presentations:

  1. The Korean young-farmer-recruitment policy frame. Surface in any talk about why a country adopts agrifood AI at a national-policy level. Korea’s frame is recruitment-and-integration: the Act as instrument for bringing young farmers into farming via smart-farming infrastructure. This is structurally distinct from:
    • India’s AgriStack / DAM (DPI substrate; farmers are users of the substrate)
    • China’s state-vendor hybrid (state-vendor alignment at provincial level)
    • Japan’s Act on Promotion of Smart Agricultural Technology Utilization (technology-push, not succession-pull)
    • USDA-NIFA’s academic-institute pathway (research-to-deployment translation)
    • The Netherlands’ Wageningen-anchor cooperative model (JoinData)
  2. The OECD-anchored policy-comparison layer. OECD’s Agricultural Policy Monitoring and Evaluation is the corpus’s cleanest multilateral-institution validation of smart-farming-policy instruments across countries. Surface OECD 2025 as a comparison source.

Three secondary presentations:

Critical context