Deep Garden for breeders

You developed the genetics.
Show how to grow it.
Learn from every grow.

Turn your knowledge into structured protocols and, over time, build evidence about how your cultivars behave across different environments.

  • Genetics
  • Protocols
  • Data
  • Evidence

A bridge between genetics and operations

From breeder knowledge to real cultivation.

Deep Garden connects genetics, agronomic protocols, and cultivation data in one infrastructure. Knowledge no longer stays only in tech sheets — it follows the cultivar through its operation.

  1. Genetics

    What is being grown.

  2. Protocol

    How that genetics should be grown.

  3. Cycle

    How the program is applied in this grow.

  4. Environment

    What is happening in real time.

  5. Cognition

    Where reference and reality meet.

AKB — Agronomic Knowledge Base

Cultivation programs by genetics and objective.

Create specific programs for each cultivar and production objective. Structure stages, environmental parameters, nutrition, irrigation, and management into versioned recipes that can evolve over time.

  • Versioned recipes

    Update knowledge without losing history or traceability.

  • Different objectives

    Create specific strategies for yield, efficiency, quality, or research.

  • Bound to genetics

    Associate each protocol directly with the matching cultivar.

  • Documented origin

    Record authorship, sources, references, and evidence.

Interactive illustrative UI based on the platform AKB and editors.

Cultivar

Strawberry Eclipse

Example · Horizon Genetics

Strawberry · Hybrid

Lineage
Albion × Seascape
Photoperiod
Day-neutral
  • Typical cycle

    70–85 days

  • Environment

    Indoor · Greenhouse

  • Density

    8–12 pl/m²

  • AKB confidence

    High

Interactive illustrative UI based on the platform AKB and editors.

From protocol to operation

Knowledge does not end at a recommendation.

Protocols can be applied to cultivation cycles and used by Deep Garden infrastructure as a reference to configure routines, guide compatible automation, and track the expected conditions for each stage.

Growers should not only know what to do. Deep Garden helps them see whether the grow is following the program.

  1. Protocol

    Cultivar, stage, targets, and recipe version

  2. Cycle

    Operational program for this grow

  3. Environment + equipment

    Sensors, Growbot, Aerocloner, and available infrastructure

  4. Operation

    Monitoring, routines, and supported automation

  5. Cognition

    Compare, surface deviations, and guide

Protocol — reference

High Yield v1.4

Current stage: Flowering

Reference

  • Temperature24–26 °C
  • Relative humidity55–65%
  • VPD0.9–1.2 kPa
  • CO₂800–1,000 ppm
  • PPFD600–900 µmol/m²/s

Observed environment

Recent telemetry

Observed

  • Temperature25.1 °C
  • Relative humidity48%
  • VPD1.38 kPa
  • CO₂920 ppm
  • PPFD780 µmol/m²/s

Cognition

Outside the reference range

Copilot

Relative humidity is below the protocol range defined for this stage.

Illustrative example. Numeric recommendations come from AKB targets — they do not invent setpoints. Alerts and automation depend on environment capabilities.

  • Monitor

    Track environmental conditions against the program.

  • Detect

    Identify when the grow drifts from the agronomic reference.

  • Alert

    Signal conditions that need grower attention.

  • Guide

    Provide context based on the protocol and current stage.

One agronomic knowledge system. Different ways to put it into operation.

The same agronomic knowledge system can support different stages and Deep Garden infrastructure — from propagation to production — adapting the program to the stage, available equipment, and automation capabilities of each environment. Propagation and production programs remain distinct when the model requires it.

  • Propagation

    Versioned programs for Aerocloner and cloning phases.

  • Production

    Cultivation protocols applied to the cycle and its stages.

  • Environment

    Growbot and sensors to monitor and run compatible routines.

  • Cognition

    Comparison between agronomic reference and observed conditions.

Help more customers grow your genetics correctly from the first cycle.

Structured protocols, monitoring, and Cognition help growers stay closer to the recommended conditions for each genetic and stage — narrowing the gap between recommendation and execution.

From knowledge to cultivation. From cultivation back to knowledge.

From field to knowledge

Every grow adds context to the knowledge.

Environmental data, operational conditions, observations, and results help explain how a genetics behaves across different contexts. When a learning is validated, it can support a new version of the protocol.

  1. 01

    Grows

    Real experiences

  2. 02

    Data

    Environment + operations

  3. 03

    Analysis

    Patterns and hypotheses

  4. 04

    Validation

    Technical review

  5. 05

    New version

    Updated knowledge

From knowledge to cultivation. From cultivation back to knowledge.

Protocol → real cultivation → telemetry + observations → analysis → validation → new version. Telemetry does not change protocols automatically.

Cultivar Knowledge Network

Your genetics connected to everything we know about it.

Catalog, genealogy, protocols, evidence, observed grows, and technical discussions gathered in one structure.

  • Catalog
  • Genealogy
  • Protocols
  • Evidence· evolving
  • Grows· evolving
  • Discussions· evolving

From genetic identity to agronomic knowledge — in one structure.

The cultivar map and catalog already exist on the platform. Evidence, aggregated cultivation data, and discussions advance with the Founding Breeders program.

Deep Garden cultivar map
Screenshot of the cultivar map in the Deep Garden platform

Knowledge with provenance

Not only what we know. But where we know it from.

In Deep Garden, knowledge is not just a number in a table. Recommendations can carry authorship, version, source, and evidence level — making it possible to distinguish breeder guidance, scientific literature, agronomic observations, and real cultivation data.

  • Breeder

    Reference

    Official recommendation

    Guidance attributed to the genetics organization

  • Science

    Reference

    Literature and research

    Citations and references linkable to the protocol

  • Field

    Observed

    Observed grows

    Data and reports from real cycles

  • AKB

    Reference

    Knowledge resolved for context

    Parameters applicable to the stage and protocol in use

Observed values inform review — they do not automatically become recommendations.

For teams developing genetics

From genetics registration to protocol evolution.

  • Structure

    Document protocols by cultivar, stage, and objective with versioning, authorship, and references.

  • Apply

    Bring that knowledge to whoever grows your genetics — protocols can follow cycles and serve as an operational reference.

  • Support

    Monitoring and Cognition compare environment and reference to surface deviations and guide decisions.

  • Learn

    See how genetics behave across environments and use evidence to support new hypotheses and versions.

Onboarding

Your knowledge enters structured. Without starting from scratch.

  1. 01

    Share what already exists

    Grow guides, tech sheets, PDFs, spreadsheets, and internal recommendations.

  2. 02

    We structure it

    We organize cultivars, stages, objectives, protocols, and references.

  3. 03

    You review

    Your technical team validates the knowledge before publication.

  4. 04

    We publish on the platform

    Genetics join the catalog and can receive official protocols.

FAQ

What breeders ask about Deep Garden.

  • What is the AKB (Agronomic Knowledge Base)?

    AKB is Deep Garden’s agronomic reference layer: versioned programs and protocols by cultivar, stage, and objective, with authorship and traceability.

  • Do protocols reach real cultivation operations?

    Yes. Protocols can be applied to growing cycles and used as an operational reference by Deep Garden infrastructure — for routines, monitoring, and automation compatible with available equipment.

  • How does Cognition help growers?

    Cognition compares observed conditions with the protocol and current-stage reference, surfacing deviations and providing context to guide decisions — without inventing numeric setpoints outside the AKB.

  • What is the Founding Breeders program?

    It is early onboarding for breeders, seed companies, and breeding programs that want to structure genetics, protocols, and evidence on the Deep Garden platform.

Founding Breeders program

Help build the next layer of intelligence for genetics and cultivation.

We are inviting breeders, seed companies, and breeding programs to structure the first integrations between genetics, agronomic protocols, and real cultivation data in Deep Garden.

As a Founding Breeder, you receive:

  • Assisted onboarding
  • Initial catalog structuring
  • Creation of the first protocols
  • Official organization profile
  • Early access to new genetics tools
  • Direct participation in platform evolution

I want to be a Founding Breeder