Sandy

Core Features

Sandy quantifies on-farm greenhouse-gas performance using recognized standards and transparent agronomic models, combining farm activity data with regionally appropriate emission factors and soil-carbon dynamics to capture both emissions and removals.

• Standards & Assurance: Sandy is certified to ISO 14067 and compliant with PAS 2050 and the GHG Protocol; references to ISO 14064 are also provided, supporting defensible carbon accounting.

• IPCC-Based Methods: Uses 2019 IPCC methodology with a sector-leading Tier-2 soil-carbon model to quantify emissions and removals credibly.

• Model–Data Fusion: Combines on-farm data with peer-reviewed science to improve accuracy and represent management practices.

• Multi-Level Results: Produces footprints at field, product/enterprise, and whole-farm/business levels for granular decision-making.

• Data Integration: Pre-populates audits from existing farm software (e.g., Gatekeeper, Muddy Boots) to cut manual entry and boost consistency.

• Sequestration & Mitigation Planning: Models soil carbon, agroforestry, anaerobic digestion, biochar and cleaner energy options, with scenario tools to test pathways to net-zero.

Closing Insights

Sandy is flexibly deployed in both commercial agriculture and research contexts, illustrating its utility across use cases. Bayer has partnered with Trinity AgTech to incorporate Sandy into its European Carbon Initiative, measuring and monitoring farm-level carbon across supply chains to support regenerative practice scale-up. This engagement shows how industrial and corporate programs can embed Sandy in environmental commitments. Meanwhile, agricultural researchers are using Sandy to quantify natural capital effects in on-farm trials. For example, trials test intercropping within arable systems, with Sandy enabling measurement of carbon, biodiversity, and productivity trade-offs, accelerating decision cycles and validation of practices.

What sets Sandy apart include its ability to account for carbon storage in upland and lowland peat, something many first-generation farm calculators could not credibly measure. Its architecture fuses process modeling, AI, and data methods in a “Smart Natural Capital Navigator” framework, a novel category that emphasizes continuous, precision insights beyond static calculators. Underpinning this is a strong scientific foundation: the platform is supported by a 46-member independent Scientific Board that guides method development, review, and validation.

For users considering carbon and natural capital tools, Sandy offers a science-driven, scalable solution suitable for both broad-scale implementation and innovation projects. Its credibility in challenging contexts (e.g. peat soils), continuous updates, and rigorous validation make it an inviting choice for those who seek both insight and assurance.