AI-supported greenhouse decisions

AI agronomist for greenhouse monitoring.

Djonix combines live root-zone monitoring with an AI agronomist designed to recognize meaningful changes, explain why they matter and surface a practical recommendation when the evidence supports one.

Root-zone dataMoisture, temperature, EC, salinity, pH and N/P/K sensor signals.
Live + historicalCurrent state, changing trends, alerts and context instead of isolated readings.
AI-supportedExplainable recommendations with the ability to abstain when evidence is weak.
From readings to decisions

What an AI agronomist should actually do.

A greenhouse produces a continuous stream of measurements. The difficult part is not displaying more numbers; it is deciding which changes deserve attention. Djonix is designed to watch trusted sensor data, compare the current state with recent history and crop context, and surface a concise recommendation when the evidence is strong enough.

The AI layer is advisory. It is designed to explain the signals behind a recommendation and to avoid inventing certainty when data quality or context is insufficient.

Watch multiple signals togetherMoisture, EC, pH, temperature and nutrient-related sensor signals can change together. Djonix evaluates the pattern rather than treating each number as an isolated alarm.
Use trends, not snapshotsA value that is moving quickly can matter differently from the same value that has remained stable for hours.
Explain the recommendationThe grower should be able to see what changed, which zone is affected and why Djonix believes attention is required.
Abstain when evidence is weakIf sensor freshness, calibration or context is not trustworthy enough, the safer result is to request review rather than guess.
Example decision flow

Moisture falls while EC rises.

Djonix can recognize that the root zone is drying while dissolved-ion concentration is increasing. Instead of showing two unrelated warnings, the system can explain the combined pattern and suggest reviewing irrigation without automatically changing dosing hardware.

Human in the loop

Decision support, not uncontrolled automation.

Djonix recommendations do not directly energize pumps, valves or dosing equipment in the launch advisory experience. A grower remains responsible for the physical action.

That boundary matters because a recommendation depends on sensor quality, crop context, greenhouse setup and conditions that may exist outside the data stream. AI can make monitoring easier to interpret, but it should not hide uncertainty.

What the system can surface

Useful outputs, not chatbot theatre.

Priority alerts

Identify the zone and the reason a changing pattern deserves attention now.

Clear next steps

Translate the detected pattern into a practical recommendation the grower can review.

Context and history

Show how the current state compares with recent measurements rather than presenting a single value without context.

Common questions

Questions growers ask.

Djonix is being developed as an advisory greenhouse monitoring system. Capabilities still requiring validation are described as such rather than presented as finished automation.

Is the Djonix AI Agronomist included?

The first 12 months are included with every Founding Edition pre-order. After that the AI layer is optional at $14/month.

Does the AI replace a human agronomist?

No. Djonix is designed as monitoring and decision support. It can highlight patterns and explain recommendations, while a grower or agronomist remains responsible for operational decisions.

Can the AI control irrigation automatically?

Not in the launch advisory experience. Recommendations do not directly activate pumps, valves or dosing hardware.

Bring intelligence into the greenhouse.

Djonix Founding Edition is €400 instead of the planned €600 retail price and includes 12 months of AI Agronomist.

Reserve the Founding Edition →