Seed/substrate/nutrient stock, re-order alerts, cost tracking

Versioned, shareable grow recipe library built on the GrowSpec format — a package index for cultivation plans

Organic certification, GAP/HACCP audit trails, spray diaries

ET-based scheduling, drip/flood-drain, water quality/budget

Camera-based plant monitoring: automated disease/deficiency detection from images, growth stage identification, yield estimation from timelapse, contamination alerts (especially relevant for mushroom grows).

Fleet management across multiple grow locations - aggregate dashboards, centralised alert routing, per-site config inheritance.

Substrate preparation, composting, vermicomposting, bokashi. The input supply chain — making the growing media rather than just using it. Closes the circular economy loop from pyfarm-soil.

Async job orchestration engine for the pyfarm platform.

Water treatment — RO systems, UV sterilisation, bicarbonate adjustment, rainwater harvesting, grey water recycling. Distinct from pyfarm-irrigation (scheduling) and pyfarm-hydroponics (nutrient solution). Source water quality is a prerequisite for both.

Vectorised/parallel numerical computation for large-scale multi-room operations

Shared base models, event bus, protocols. The common type system

Post-harvest processing — drying, curing, lacto-fermentation, kombucha, wine/cider from harvested fruit. What happens after harvest.

Core automation engine: GrowSpec state machine, sensor → setpoint → actuator loop, safety interlocks, alerts ✅

Nutrient solution management for NFT, DWC, Kratky, ebb-and-flow systems. EC/pH dosing, reservoir top-up, formulation recipes by stage. pyfarm-soil covers substrate amendments — it does NOT cover hydroponic solution chemistry. These are fundamentally different domains.

strain provenance, trait recording, seed bank, breeding records

Farm management calendar layer: bed/plot rotation planning, succession sowing schedules, labour task lists, harvest forecast calendar. Sits above pyfarm-control (automation) - for when humans are doing the work.

per-circuit power monitoring, solar integration/scheduling, carbon footprint per kg produced, demand shifting. Critical for commercial operators watching margins.