Data & Soil Life: For three months, soil sensors measured temperature, humidity, pH and and nutrients in a pilot experiment exposed to outdoor conditions and automatic irrigation, simulating a small farm environment.

The results revealed how the decomposing biomaterials enrich the soil, increased its  nutrient availability and improved moisture retention.

Here the numbers show that the ‘offering’ was not symbolic but measurable and regenerative.

Predictive Modeling: Based on this data, two predictive models were created to estimate how soil nutrients might change over time as biomaterial decomposes and is absorbed. Together, these tools convert experimental soil data into interactive, data-driven insights into how biomaterials affect soil regeneration.

Here, AI does not seek to control, but to listen, translating the rhythms of the soil into possible futures.