Recover Ag offers an AI‑driven measurement, monitoring, reporting and verification (MMRV) platform that combines remote‑sensing data with optimized soil‑sample collection to deliver high‑accuracy field‑level soil organic carbon estimates. By using deep‑learning models to translate sampled data into verified carbon stock changes, the system reduces measurement uncertainty by over 90 % and provides affordable, scalable verification for carbon‑farming programs and corporate carbon‑credit buyers.
Funding
Funding not disclosed
Founders
Product
Problem
Soil carbon credit programs suffer from high measurement uncertainty and costly, labor‑intensive sampling, making it difficult for buyers to trust credit volumes and for farmers to receive reliable revenue.
Solution
Recover Ag provides an AI‑driven measurement, monitoring, reporting and verification (MMRV) system that combines remote‑sensing data with optimized soil‑sample collection to accurately quantify field‑level changes in soil organic carbon. The platform’s deep‑learning models translate the sampled data into precise carbon stock estimates, reducing uncertainty by more than 90 % compared with traditional tools. Results are delivered through a web interface that guides growers through field boundary definition and sampling, while generating verified carbon removal credits for corporate buyers. By lowering measurement costs and improving credit bankability, the solution enables scalable carbon‑farming programs for vineyards, orchards, and other croplands.
Target Audience
Primary customers are vineyard and orchard managers participating in carbon‑farming programs, and corporate carbon‑credit buyers seeking high‑quality, verifiable soil carbon removal credits.
Features
- AI‑guided sampling strategy that identifies optimal locations to capture spatial variability of soil carbon across any field size
- Remote‑sensing integration (satellite and aerial imagery) to inform sample placement and provide baseline soil carbon context
- Deep‑learning platform that converts sampled data into high‑accuracy, field‑level soil organic carbon stock change estimates
- End‑to‑end MMRV workflow delivering verified carbon removal credits with a 90 % reduction in uncertainty deductions
- Web‑based application for growers to submit field boundaries, management practices, and receive automated measurement reports
- Scalable pricing model that makes precise soil carbon measurement affordable for portfolios ranging from a few acres to tens of thousands of acres