Soilution AI Lab

Live soil data + explainable AI → clear trends, honest confidence, actionable tips.

Innovation Zone · Growth Zone · Nature Zone
Moisture %
pH
EC µS/cm

48-hour Moisture Forecast (3-hour steps)

Model: Ridge regression (L2). Falls back to persistence if data is sparse. Confidence reflects recent data density.

Next Best Action: —
Loaded rows: —
Date Time Air °C Humidity % Weather Zone pH Soil °C Moisture % EC µS/cm Notes
Learn more 🌱

Every time we measure the soil, we learn a bit more about how nature works. Three main things tell us how healthy our soil is:

  • Soil pH: shows how acidic or basic the soil is. Most plants are happiest when pH is around 6 to 7. If the number goes too low or too high, some nutrients “hide,” and roots can’t absorb them well.
  • Moisture %: tells us how much water is in the soil. Too little makes plants thirsty and weak. Too much fills the air spaces in soil and can make roots rot. We try to keep it in balance — not too dry, not too wet.
  • EC (µS/cm): stands for Electrical Conductivity. It shows how many salts or minerals are dissolved in the soil water. A very high EC means too much salt — this can make it hard for plants to drink water.

By watching these three values together, we can tell when to water, when to rest, and how our soil is changing over time. That’s how science helps us take care of the planet — one small garden at a time.

How the AI works

Our AI model learns directly from the measurements we collect. It looks at the last few days of data and tries to predict what will happen next.

It uses things like air temperature, humidity, soil temperature, EC, and even time of day to make its guess. If we don’t have much data yet, the AI just assumes the soil will stay about the same — that’s called a persistence forecast.

The more data we collect, the smarter the predictions get. It can then suggest actions such as “Water soon” or “No irrigation needed”.

This model is called a Ridge Regression — a simple kind of math that finds gentle patterns in the data without overreacting to noise. It’s not magic, it’s mathematics helping nature 🌿.