vision
YOLOv8 FFB ripeness grader (Gunadarma)
Academic FFB grading model in a Streamlit web app, trained on 6,592 Roboflow images; precision 94.5%, recall 94.7%, mAP 98%. No plantation deployment stated.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released31 Dec 2025
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Lineage
finetune
YOLOv8 is the parent (finetune)medium confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
Industry Use Cases
Agriculture
Fresh fruit bunch ripeness gradingR&D Topics
Identity
- Developer
- Gunadarma University
- Family
- not in the notes
- Released
- 31 Dec 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
- CNN
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- 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.
Links
ModelYOLOv8 FFB ripeness grader (Gunadarma)Gunadarma University, vision
YOLOv8 FFB ripeness grader (Gunadarma)Gunadarma University, visionWho Runs ItPT Toba Agro Manunggal with BINUS (BDSRC)Research, 28 Jul 2026
PTPN IV PalmCoPlanned, 24 Sep 2025PKS PGK Jambi (palm oil mill; owner not stated)In production, 24 Sep 2025Deployments of these use cases; none names this model.
PTPN IV PalmCoPlanned, 24 Sep 2025PKS PGK Jambi (palm oil mill; owner not stated)In production, 24 Sep 2025Deployments of these use cases; none names this model.Organisations 1
Sources
- Optimalisasi Deteksi Tingkat Kematangan Tanda Buah Segar Kelapa Sawit Menggunakan YOLOV8 Dengan Platform Web | Jurnal Ilmiah Teknologi dan R ejournal.gunadarma.ac.id https://ejournal.gunadarma.ac.id/index.php/tekno/article/view/67
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "YOLOv8 FFB Ripeness Grader (Gunadarma)", https://aurion.semai.id/models/gunadarma-university-yolov8-ffb-grader/, records of October 2026.