Karpos

Your master gardening assistant and smart friend

Karpos brings together your garden's sensor readings, plant photos, local weather, and history to help growers of every experience level understand what's happening and choose a practical next step. This public page shows sample answers only.

From signals to decisions

A better answer starts with better context.

Karpos brings the garden together before it recommends a next step. Instead of treating one reading or one image as the whole story, it compares what the plants are showing with what the root zone, weather, and garden history are doing.

Sensor telemetry
Moisture, EC, root-zone temperature, light context, battery, signal, and data quality.
Plant imagery
Crop identity, visible stress, leaf changes, growth stage, and possible pest or disease clues.
Weather and timing
Local conditions, forecast, heat, rainfall, humidity, and how quickly the garden is changing.
Garden history
Recent readings, alerts, bed details, user observations, and actions already taken.
Gardener holding a cucumber leaf while the Karpos app analyzes garden context.
Plant images give Karpos a visual starting point for the question behind the reading.

How Karpos works

It turns scattered garden signals into a practical next step.

Every response is designed to help the grower understand what changed, what matters most, and what to check next.

01

Notice the change

Karpos looks for meaningful movement in the data, such as drying soil, rising EC, heat stress, or a reading that does not fit the recent pattern.

02

Cross-check the context

It compares sensor trends with crop needs, images, weather, bed history, and the question the grower is actually asking.

03

Explain the next move

It prioritizes a short list of checks and measured actions, explains why they matter, and calls out when more information is needed.

Context in practice

The same garden can tell different stories.

A timely alert is useful when it is connected to the conditions around it. Karpos is built to make that connection visible.

Karpos app showing garden alerts beside the current Root and Relay sensor in a tomato bed.
Alerts with a reason. A warning is paired with the surrounding conditions so the grower can decide whether to inspect, wait, or act.
Karpos app and the current Root and Relay sensor shown together among tomato plants.
Data in the garden it came from. Sensor readings become more useful when they are tied to a specific bed, crop, image, and recent history.

What a response should feel like

Clear enough to use. Specific enough to trust.

Karpos is not meant to replace observation or make blind changes to a controller. It helps the grower narrow the possibilities, understand the evidence, and choose the next check with confidence.

Start with evidence. The response identifies the signals or observations that support it.

Prefer reversible steps. Recommendations begin with inspection, measurement, and small adjustments.

Ask for what is missing. When the data is ambiguous, Karpos explains which photo, reading, or detail would help.

Keep the grower in control. Recommendations are reviewed by the user before any garden change is made.

Sample questions

See how Karpos thinks

Sample answer

Cucumber leaves have holes

Start with visual scouting before changing nutrients. Check the undersides of three damaged leaves, new growth, and the soil surface for beetles, caterpillars, frass, or fresh chewing. If moisture and EC are steady, chewing pests move higher than watering or feeding changes.

Open the Cucumber guide