Fertilizer recommendations are spreadsheet-driven and ignore residual N
NPK calculator subtracts soil + residual N and outputs variable-rate prescription map
AssayCore Agro is built for agricultural testing laboratories analyzing soil, water, plant tissue, and fertilizers. The platform covers macro and micronutrient analysis, pH/EC measurements, heavy metal screening, and automated fertilizer recommendations based on crop requirements. Integration with precision agriculture platforms enables variable-rate application maps. Full ISO 17025 compliance with chain of custody tracking.
Compliance & Standards
Complete feature set covering every stage of your laboratory workflow.
Concrete laboratory pain — quantified — and how AssayCore Agro addresses each.
NPK calculator subtracts soil + residual N and outputs variable-rate prescription map
EPA Method 3050B + 6010 templates with method blanks, spikes, duplicates, MDL studies
Codex MRL DB synced quarterly; auto-flag results vs commodity-specific MRL
Mobile sampling app stores GPS + photo at point of sampling, syncs to LIMS
Built-in Walkley-Black, loss-on-ignition, and dichromate calculators with audit log
FAO 56 weather-adjusted N module pulls station data and updates recommendation per field
Bundled CPU-only inference. Open datasets, transparent metrics, lab-tunable thresholds.
| Model | Task | Dataset | Metric | Latency | Status |
|---|---|---|---|---|---|
| agro.npk_recommender | Recommend NPK rate per field × crop × yield-target | FAO 56 + USDA NRCS + internal regional priors | MAE 12 kg N/ha vs agronomist baseline | 30 ms (CPU) | Production |
| agro.soil_classifier | Classify USDA soil texture from %sand/silt/clay | USDA NRCS Soil Survey Geographic (SSURGO) | Accuracy 96.4% | 8 ms (CPU) | Production |
| agro.pesticide_residue_anomaly | Flag residue results out-of-pattern for commodity / region | EU EFSA + Codex MRL + regional priors (synthetic 50K) | AUC 0.88 | 20 ms (CPU) | Production |
| agro.crop_disease_classifier | Classify leaf-image disease symptoms | PlantVillage (HF: kandeshakil/plant-village, 87K images, public) | Accuracy 94.7% | GPU only (450 ms CPU fallback) | GPU-only |
| agro.yield_predictor | Predict yield (t/ha) from soil + weather + variety | FAO climate + USDA + internal trial data | R² 0.82, RMSE 0.6 t/ha | 35 ms (CPU) | Production |
| agro.lime_recommender | Recommend lime requirement to reach target pH | Adams-Evans buffer model + soil priors | MAE 0.3 t/ha | 10 ms (CPU) | Production |
Calculations that actually run in AssayCore Agro — every formula links to its source standard.
N_target = (yield_target × N_uptake_factor) − N_soil − N_residualFAO 56; USDA NRCS Agronomy Handbook
%OM = (V_b − V_s) × N × 0.39 × f / m_soilWalkley-Black 1934; USDA NRCS
CEC (cmol+/kg) = Σ(Ca²⁺ + Mg²⁺ + K⁺ + Na⁺ + H⁺ + Al³⁺)USDA NRCS; ISO 23470
SAR = Na⁺ / √((Ca²⁺ + Mg²⁺) / 2)FAO 29; USDA Salinity Lab Handbook 60
C_residue ≤ MRL_codex (per pesticide × commodity)Codex Alimentarius CXL 2024
C_total (mg/kg) = (C_ICP × V_extract × dilution) / m_sampleEPA SW-846 Method 3050B + 6010D
N_adj = N_baseline × f(rainfall, ETo, GDD_to_GS30)FAO Irrigation & Drainage Paper 56
Honest side-by-side. Where competitors lead we say so; where we lead, we show how.
| Competitor | Their offer | AssayCore Agro |
|---|---|---|
| Ag Leader | Strong precision-ag hardware; weak lab-side soil chemistry tracking | Full EPA 3050B/6010 workflow + variable-rate prescription map export |
| Granular (Corteva) | Farm-management focus; no ISO 17025 lab module | ISO 17025 lab module + Granular-compatible export for prescription maps |
| Trimble Ag | GIS-heavy; soil nutrient calc requires 3rd-party plug-ins | NPK + lime + Walkley-Black built-in; GPS-tagged sampling out-of-box |
| Agrian / Agworld | Compliance + recordkeeping but no Codex MRL pesticide DB | Codex MRL synced quarterly with auto-flag against commodity tolerances |
| Generic LabWare/STARLIMS Agro | $100-250K, 6-9 month deploy, no fertilizer recommendation engine | $19.9-29.9K starter, 21-day deploy, NPK + lime recommenders included |
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