AI-Powered Supply Chain Monitoring
The agricultural industry is at a turning point—balancing productivity with sustainability has never been more critical. With Scope 3 emissions making up the majority of carbon footprints in agribusiness, companies need real-time visibility into their supply chains to meet sustainability goals.
At Deep Planet, we’re leveraging Geospatial AI to provide unparalleled insights into agricultural supply chains, helping businesses measure emissions, optimise sourcing, and build a more resilient future.
🛰️ How Geospatial AI is Revolutionising Agricultural Supply Chains
✅ Satellite-Powered Emissions Monitoring – AI analyses satellite imagery, climate data, and farm-level inputs to track carbon footprints across global supply chains.
✅ Predictive Insights for Scope 3 Emissions – Machine learning models estimate deforestation risks, soil carbon sequestration, and fertiliser use to quantify emissions at the source.
✅ Smart Sourcing & Supply Chain Optimization – AI-driven insights help companies choose low-carbon suppliers, optimise transportation routes, and improve sustainability compliance.
🚀 Deep Planet in Action
Our AI-powered platform is already helping agriculture businesses track Scope 3 emissions and enhance sustainability:
🌾 Retailer and Food & Beverage Brands – Ensuring sustainable sourcing and reporting compliance, and achieving carbon insets or offsets. Reducing risk of sourcing from deforested regions.
🌱 Winemakers – Monitoring vineyard health & minimising emissions at production to improve grape sourcing decisions.
🥔 Potatoes, cereal and multiple crops – Identifying climate-smart farming practices to reduce emissions.
See the case study of carbon insetting in wine supply chain
🔬 World leading research and collaboration
Our recent collaboration has led to the development of advanced geospatial AI techniques to accurately estimate soil organic carbon (SOC) in agricultural landscapes. By integrating Graph Neural Networks with positional encoders, we've effectively captured the intricate relationships between soil properties and climate variables. This approach enhances the precision of SOC assessments, providing deeper insights into carbon sequestration and emissions within agricultural supply chains. Our findings, detailed in the publication "Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network," underscore the potential of cutting-edge AI in promoting sustainable agriculture and addressing Scope 3 emissions.
Regional or Supply Chain Monitoring: Image showing Soil Organic Carbon(SOC) change over the region identifying hotspots to improve SOC
Farm monitoring: Soil Organic Carbon(SOC) change in a farm or a block
Why This Matters
With increasing ESG regulations (GHG Protocol, CSRD, and SEC Climate Disclosure), businesses must act fast. Deep Planet’s AI-powered platform enables companies to stay ahead of regulations, cut emissions, and future-proof their supply chains
Ready to Take Action?
Read our blog for examples of how geospatial AI can address production and sustainability issues at your company and join us in making the agricultural supply chain more transparent, efficient, and sustainable.
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