okuafo-maizeguard-edge-v1.5

Okuafo MaizeGuard Edge v1.5

Public development candidate — user testing required.

This model has not been independently or agronomist validated. It is not approved for production use or autonomous diagnosis.

MaizeGuard Edge v1.5 is a two-model FP16 TFLite screening pipeline for five maize leaf symptom classes:

• bacterial leaf streak
• common rust
• gray leaf spot
• northern leaf blight
• other disease

The categorical and specialist models are combined by the locked calibrator in runtime/fusion_calibrator.json. The runtime returns __abstain__ when the calibrated confidence is below 0.7360778873342575. An abstention must be sent for human review rather than converted into a diagnosis.

Development evidence

All headline metrics below are internal five-fold out-of-fold development measurements, not field-validation or production claims.

The exported TFLite models use built-in operations only and produced deterministic repeated-batch outputs in the recorded parity audit.

Known limitation

Gray leaf spot raw recall is 59.46%, below the strict 78% release gate. The only failed development gate is oof_named_recall_gte_0_78. This candidate must therefore retain abstention and human review and must not be described as validated.

Files

• models/: the categorical and specialist FP16 TFLite models plus their source Keras checkpoints.
• runtime/: the dependency-free fusion resolver, locked calibrator, class contract, and one-image test CLI.
• evidence/: the development report, 1,306-image TFLite parity report, quantization-threshold adjustment receipt, and development-review exemption.
• manifest.json: SHA-256 inventory and release-state flags for the exact candidate.

Test one image

python -m pip install -r requirements-test.txt
python runtime/run_fusion_tflite.py \
  --bundle . \
  --image /path/to/maize-leaf.jpg

Treat every output as screening support for a qualified human reviewer.

Release state

• Development review exemption: active
• Ready for user validation: yes
• Public development publication: authorized
• Public model-weight licence: CC BY 4.0
• Independently validated: no
• Agronomist validated: no
• Validated release eligible: no
• Production use approved: no

Model weights are licensed under CC BY 4.0 in LICENSE. Included code is licensed under Apache-2.0 in APACHE-2.0.txt. The development evidence retains its original release-state flags to preserve the audit record; public availability does not convert those measurements into validation.