---
license: cc-by-4.0
language:
  - en
task_categories:
  - text-generation
  - question-answering
tags:
  - agriculture
  - korean-natural-farming
  - knf
  - regenerative-agriculture
  - tropical-farming
  - smallholder
  - philippines
  - instruction-tuning
pretty_name: ROOTMODEL KNF Philippines v1
size_categories:
  - n<1K
---

# rootmodel-knf-philippines-v1

Adaptive agricultural instruction dataset for **regenerative tropical farming informed by Korean Natural Farming (KNF)**, built from a working farm in Nabua, Camarines Sur, Bicol, Philippines.

Released for the **AutoScientist Challenge — Agriculture (Part 2, 2026)**. To the maintainer's knowledge, no equivalent KNF-specific instruction dataset currently exists in the public domain.

> "Modern AI was trained on the internet. ROOTMODEL is trained on living soil."

## What this dataset is

59 instruction → response records teaching the decision logic of a KNF-informed biological farming system: read the signal (crop stage, symptom, soil and weather condition), correct soil biology first, then apply the stage-appropriate biological input at the right dilution, method and timing — and record the outcome.

JSONL, with fields:

| field | meaning |
|---|---|
| `task` | reasoning task (`stress_classification`, `input_selection`, `fermentation_readiness`, `outcome_comparison`, `recovery_prediction`, `field_observation`, `microbial_imbalance`, `land_history`, `pest_cycle`, `knf_input_function`, `knf_knowledge`) |
| `source` | provenance — see below |
| `instruction` | task prompt |
| `input` | field or lab context |
| `output` | target response |

## Data provenance

Records are split by provenance and never blended:

- **`nabua_field_log`** (37 records) — real observations from the Nabua farm: dated interventions and outcomes, substrate readings, fermentation batches, and documented management transitions (2016 chemical → organic → KNF; 2019 pig-litter integration; ASF culling; Typhoon Kristine 2024; Typhoon Inday July 2026; 2026 reboot).
- **`knf_canonical`** (22 records) — established KNF domain knowledge: input functions (IMO, LAB, FPJ, FFJ, OHN), standard dilution ranges, fermentation-readiness signals, stage-to-input mapping, biological-first decision logic.

This separation lets a reviewer see exactly which records are general knowledge and which are ground-truth field data.

## Field observation schema 
```
Date · Plot ID · Crop · Growth Stage · Weather · Symptom ·
Soil Condition · KNF Input Applied · Dilution Ratio ·
Application Method · Time Applied · Result After 72h · Notes
```

## KNF inputs covered

| Input | Function | Stage |
|---|---|---|
| IMO | Soil microbial inoculation | Land prep, transplanting |
| LAB | Fermentation activator, anaerobe suppression | Foliar spray, soil drench |
| FPJ | Vegetative growth stimulation | Vegetative |
| FFJ | Flowering and fruiting support | Reproductive |
| OHN | Pest resistance, stress support | Stress response |

## Recording discipline

- No date is estimated. Precision is recorded as exact, approximate or month-only.
- No outcome is written before its 72-hour window has elapsed.
- "No visible change" and "identification unconfirmed" are valid records.
- Failures, confounds and interrupted observation days are logged rather than omitted.
- Identifications are revised in place when better evidence arrives, with the revision noted.

## Limitations

- Small corpus. Field observations centre on IMO application and fermentation readiness; other KNF inputs are represented canonically.
- Dilution ranges are standard practice and should be validated against local results.
- Specific to humid, typhoon-affected lowland tropical Philippines. Transfer to temperate or arid systems is not claimed.
- Several observations carry stated confounds (rainfall, co-introduced organisms, weed-seed load) recorded alongside the result.

## Citation
@dataset{rootmodel_knf_philippines_v1_2026,
title = {ROOTMODEL KNF Philippines v1},
author = {Sales, Ralph Anthony},
year = {2026},
note = {Nabua, Camarines Sur, Bicol, Philippines.},
url = {https://huggingface.co/datasets/GreenRalph/rootmodel-knf-philippines-v1}
}