Agricultural Plot Risk Scoring for Lenders and Insurers

Scores the risk of individual farm plots from satellite and farm data so lenders and insurers can price credit and cover.

geospatial tabularunverified

0named models

66candidates

0deployments

0in Indonesia

Named Models

The research names no model for this use case.

Where this comes from

Models the research names for this use case. Research, with sources on each model record.

Who Runs It

No deployment is recorded for this use case.

Where this comes from

Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

TabArena: All Tasks, no imputation, snapshot 2026-05-06, 59 entries

A general benchmark for this model class, not a test on this use case. Elo across tabular tasks, anchored RandomForest default = 1000; TabPFN-lab researchers are involved. Higher is better. Elo has no zero, so the axis starts at 1,200. Showing 10 of 13.

AutoGluon 1.5Amazon maintainer-run1,700

TabPFN-2.6Prior Labs maintainer-run1,626

RealTabPFN-2.5Prior Labs maintainer-run1,604

TabICL v2INRIA maintainer-run1,598

RealMLPINRIA maintainer-run1,514

TabDPTLayer 6 AI maintainer-run1,460

TabMYandex maintainer-run1,448

LightGBMMicrosoft AI maintainer-run1,435

CatBoostYandex maintainer-run1,418

XGBoostDMLC community maintainer-run1,376

1,2001,5001,800

XGBoostDMLC community, tabularReleasedAug 2026open weightshas scoreslast 18 months

LightGBMMicrosoft AI, tabularReleasedJul 2026open weightshas scoreslast 18 months

TabPFN-2.6Prior Labs, tabularReleasedMar 2026open weightshas scoreslast 18 months

CatBoostYandex, tabularReleasedFeb 2026open weightshas scoreslast 18 months

AutoGluon 1.5Amazon, tabularReleased2026open weightshas scoreslast 18 months

TabICL v2INRIA, tabularReleased2026open weightshas scoreslast 18 months

RealTabPFN-2.5Prior Labs, tabularReleasedNov 2025open weightshas scoreslast 18 months

SAP-RPT-OSS (sap-rpt-1-oss)SAP, tabularReleasedJun 2025open weightshas scoreslast 18 months

DINOv3 SAT-493M ViT-7BMeta, geospatialReleasedAug 2025open weightslast 18 months

DINOv3 SAT-493M ViT-L (distilled)Meta, geospatialReleasedAug 2025open weightslast 18 months

Showing 10 of 66. All models of this class

Where this comes from

Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Use Case

Industry: agriculture and plantations
Model classes: geospatialtabularunverified
Benchmarks or datasets: not in the notes
Regulatory notes: Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Agricultural plot risk scoring for lenders and insurers is an AI-based service run by an electronic system operator, and the circular asks such operators to build and use AI on the values of inclusivity, transparency, humanity and security.
UU 27/2022 Pelindungan Data Pribadi, DPR and President of the Republic of Indonesia (administered by Kementerian Komunikasi dan Digital)Agricultural plot risk scoring for lenders and insurers processes personal data of farmers, smallholders or borrowers, so the controller needs a lawful basis, must protect the data and must honour data subject rights.
POJK 29/2024 Pemeringkat Kredit Alternatif, Otoritas Jasa Keuangan (OJK)Agricultural plot risk scoring for lenders and insurers scores farmers for lenders and insurers from non-credit data such as plot and satellite data, the activity this regulation defines as alternative credit scoring.
POJK 22/2023 Pelindungan Konsumen dan Masyarakat di Sektor Jasa Keuangan, Otoritas Jasa Keuangan (OJK)Agricultural plot risk scoring for lenders and insurers feeds financing or insurance decisions about farmers, so lenders' consumer protection duties apply.

Where this comes from

From the industry tracks T08 to T10 of the research notes.

R&D Topics

Links to R&D topics are awaiting review.

Where this comes from

Which R&D topics would most change this use case. Drafted by Claude from the topic definitions and the use case; proposed until approved.

Incidents

California Homeowner Reportedly Loses Insurance After Purported Aerial Imagery-Based Roof AssessmentUnited States, 2024-04-06, financialA California homeowner's insurance policy was reportedly not renewed after CSAA relied on aerial imagery, purportedly analyzed by an AI system, to assess the roof as having reached the end of its life.
Texas Homeowner Reportedly Spent $3,000 to Contest AI-Flagged Warning of Insurance NonrenewalUnited States, 2025-05-13, financialIn Texas, homeowners including Tracy Gartenmann reported warnings against insurance nonrenewals based on aerial imagery flagged by AI systems.

Where this comes from

Documented failures, harms or misuse in this kind of use, Indonesia first, then the region, then well-known cases elsewhere (AI Incident Database, OECD AI incidents monitor, reputable news). Not a claim about any deployment listed here.

Opportunities

Opportunities are awaiting review.

Where this comes from

Gaps found by rule in what the directory holds for this use case. Each is a proposal for review.

Links

IndustryAgriculture16 use cases, 24 deployments

Use CaseAgricultural Plot Risk Scoring for Lenders and InsurersAgriculture

Modelsnone recorded

Who Runs Itnone recorded

Graph

Sources

cloud.google.com/transform/101-real-world-generative-ai-use-ca... https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Agricultural Plot Risk Scoring for Lenders and Insurers", https://aurion.semai.id/usecases/ag-plot-risk-scoring/, records of October 2026.