> For the complete documentation index, see [llms.txt](https://terraflora-1.gitbook.io/terraflora-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://terraflora-1.gitbook.io/terraflora-docs/the-problem.md). # The Problem The systems that manage our soil, climate, and agricultural resources are built on outdated, centralized, and incomplete information.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. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://terraflora-1.gitbook.io/terraflora-docs/the-problem.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.