• Agriculture Convergence
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Soil Monitoring

Today, because of recent developments in soil and water monitoring, the critical information is being received in real-time measurements from the field, helping farmers make faster, more accurate crop production decisions.

Farmers are now using sensors to monitor particular sectors of the field, enabling them to react quickly to changes in the land and crops. The use of smaller and less-complex sensors is making quick response possible. This allows farmers to turn soil sensor readings, weather, and historical crop data into actionable perception by seeing the bigger picture.

Smart sensors deliver data at customizable intervals, eliminating the need for manual readings. Accurately predict optimal planting times, reduce water usage, and minimize the plant stress that comes from over or under- watering. Analyze historical patterns to make better long- term crop management decisions.

Features:

In your smart soil monitoring dashboard, you can:

  • Configure the number of samples per day
  • Track historical measurements over a set date range
  • Get alerts via push notification to ensure early preventative actions
  • View where sensors are in your fields
  • View smart dashboards with monitored metrics
  • Share data with community in an open source mode

Sensors Include:

Soil Moisture Sensors

pH Sensors

Benefits:

By remote accessing exact data for the weather in your fields, you can better see and forecast upcoming rainfall, humidity, temperatures, and freezes. This can help you better prepare your crops and livestock for weather conditions like frost, drought, or heavy rainfall.

  • Soil moisture sensors aid good irrigation management. Good irrigation management gives better crops, uses fewer inputs, and increases profitability.
  • Soil moisture sensors help irrigators to understand what is happening in the root zone of a crop.
  • Historical weather patterns for the exact area and better anticipate disease risks through weather patterns and conditions.
  • More efficient crop monitoring with less human error: automatic monitoring will lead to more accurate data in less time and with less labour.