Project AURIONAI Use-Cases Research & Innovation
tabular

Extra Trees oil palm yield model (JOPR 2025)

Academic oil palm yield model on Pahang agromet data 1986 to 2020; R2 0.88 (ET) vs 0.79 RF, 0.78 GB, 0.41 LR (Khan, Kamaruddin, Sheikh, Rahman, Bakht, Malaysia).

Levelmodel
Classtabular
Parametersnot in the notes
Contextnot in the notes
Released2025
Opennessunknown
Runs onnot in the notes
Statusnot in the notes

Industry Use Cases

R&D Topics

Identity

Developer
not in the notes
Family
not in the notes
Released
2025 sourcesnotes
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other Extra Trees regression; compared with Random Forest, Gradient Boosting and Linear Regression
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
not in the notes
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
research only
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Sources

  1. PREDICTION OF OIL PALM YIELD USING MACHINE LEARNING: COMPARISON OF LINEAR AND NON-LINEAR ALGORITHMS WITH MULTIVARIATE TIME SERIES DATA &#821 jopr.mpob.gov.my https://jopr.mpob.gov.my/prediction-of-oil-palm-yield-using-machine-learning-comparison-of-linear-and-non-linear-algorithms-with-multivariate-time-series-data/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Extra Trees Oil Palm Yield Model (JOPR 2025)", https://aurion.semai.id/models/khan-et-al-extra-trees-oil-palm-yield/, records of October 2026.