Ambee Soil Connector for AI agents.

It provides real-time moisture levels for your specific coordinates. This allows you to see exactly how dry the ground is before you decide to turn on your irrigation systems.

Yes, it can pull moisture and temperature data from past days, weeks, or months. This is great for identifying seasonal trends and planning long-term water usage.

It does. Researchers can use it to access global soil datasets to study climate patterns, soil health, and land degradation across different regions.

You can access detailed physical and chemical data, including soil texture, pH levels, organic carbon content, and bulk density.

Yes, it can generate gridded data points. These are perfect for creating soil condition maps and for use in GIS software for precision agriculture.

It's a great capability for checking land suitability. You can verify if a new property has the right pH and soil type for the specific plants you want to put in.

Yes! Use the get_latest_soil capability with your farm latitude and longitude coordinates. The API returns current soil moisture percentage and soil temperature in Celsius. This data is updated in near real-time using satellite and sensor fusion models, making it perfect for daily irrigation decisions and crop health monitoring.

Use the get_historical_soil capability with your coordinates and the number of days you want to analyze (e.g., 30, 60, or 90 days). This returns daily soil moisture and temperature readings that you can use to identify drying trends, assess drought severity, and plan irrigation schedules based on historical patterns.

Use the get_soil_properties capability to access detailed soil composition data including sand/silt/clay percentages, organic carbon content, bulk density, pH, and cation exchange capacity (CEC). These properties help determine soil texture classification, drainage capacity, nutrient retention, and optimal crop selection for your land.