The Problem

The systems that manage our soil, climate, and agricultural resources are built on outdated, centralized, and incomplete information. The result is a global disconnect between environmental reality and the decisions that shape our food systems, climate action, and land management.

1. Environmental data is unreliable

Most soil and climate information comes from infrequent lab tests, manual reporting, or satellite estimates. There is no continuous, high-resolution, on-the-ground measurement layer — and no global standard for truth.

2. Carbon markets lack transparency

Traditional CO₂ credits often rely on projections, assumptions, and unverifiable claims. This leads to:

• greenwashing

• inflated climate impact

• weak regulatory trust

• little real benefit for farmers

Without real measurement, climate action cannot be trusted.

3. Soil health is declining globally

Degraded soils lead to:

• lower yields

• reduced water retention

• higher fertilizer dependency

• weaker resilience against climate extremes

Yet most farmers have no real-time visibility into the biological processes under their feet.

4. Farmers are not rewarded for regeneration

Improving soil health and storing carbon adds enormous global value — but farmers rarely see any financial benefit.

5. AI is built on synthetic or incomplete data

Agricultural AI systems often rely on generalized datasets, not real biology. This makes predictions unreliable and ignores local conditions that matter most.

---

The result:

A world where climate goals cannot be verified, agriculture operates on guesswork, and nature’s value remains invisible.

TerraFlora solves this by creating a continuous, decentralized, and verifiable intelligence layer for the planet — powered by real data, real validation, and real AI.