HabiTerre delivers scalable, accurate insights for agriculture focused on environmental and productivity outcomes. The company quantifies soil carbon and GHG emissions while providing field-level forecasts and scenario modeling for practice change assessment. This technology supports food companies, carbon developers, and farmers in meeting sustainability goals and optimizing decision-making.
Funding
$12.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The agricultural sector faces challenges in accurately quantifying greenhouse gas (GHG) emissions and soil carbon sequestration at scale, hindering efforts to meet sustainability goals and participate in carbon markets. Existing methods often rely on low-resolution emissions factors and extensive soil sampling, leading to inaccuracies and high costs. This makes it difficult for stakeholders to track environmental impact and reward farmers for adopting climate-smart practices.
Solution
HabiTerre provides field-level environmental and productivity insights for sustainable agriculture through advanced algorithms and data analytics. The company's system-of-systems approach leverages remote sensing, process models, and artificial intelligence to quantify GHG emissions, soil carbon, and crop yields. HabiTerre's technology enables accurate measurement, monitoring, reporting, and verification (MMRV) of Scope 3 emissions, reducing the burden of manual data collection and soil sampling. By providing actionable insights and future scenario modeling, HabiTerre helps farmers, carbon offset developers, and the ag supply chain improve productivity, efficiency, and environmental outcomes.
Target Audience
HabiTerre serves farmers, carbon offset developers, the food and CPG industry, ethanol and biofuel producers, the broader ag supply chain, and government agencies seeking to monitor and report on sustainable agriculture outcomes.
Features
- Field-level quantification of soil organic carbon (SOC) and greenhouse gas (GHG) emissions
- Early in-season yield forecasting based on farmland history and real-time data
- Scenario modeling to assess the impact of practice changes on productivity and environmental outcomes
- Integration of remote sensing, process models, and artificial intelligence for accurate and scalable analysis
- Third-party validated models for reliable reporting of GHG emission reductions and removals
- Support for Scope 3 GHG emissions quantification for the food and CPG industry
- Tools for carbon offset developers to reduce dependency on soil sampling and lower MMRV costs