Unlocking Faster, Smarter Soil Insights with Deep Planet’s New LLM Integration
Introducing Your New AI Assistant
At Deep Planet, we’re continuously pushing the boundaries of how AI can accelerate decision-making for growers, agronomists, and sustainability teams. Today, we’re excited to introduce our latest advancement: a Large Language Model (LLM) integration designed to automatically interpret your soil nutrient and soil organic carbon maps.
This new capability streamlines one of the most time-consuming steps in soil analysis—understanding the story behind spatial variation. With AI-driven interpretation seamlessly embedded into the Deep Planet platform, users can now move from raw map outputs to meaningful insights instantly.
Automatic Interpretation of Soil Nutrient & SOC Maps
Deep Planet’s AI Assistant (right) providing qualitative and quantitative analysis
Soil maps often contain complex spatial patterns that require expert interpretation. Deep Planet is removing that bottleneck. Through the LLM’s, we are bridging the gap between complex geospatial data and the intuitive, natural language that growers use every day.
Our LLM now takes on this heavy lifting for you.
Once a map is generated, the tool:
Analyses spatial variation across your field
Describes key trends, including hotspots, deficiencies, or zones of stability
Highlights patterns that may drive management decisions
This provides a clear, narrative-style interpretation—similar to having an agronomic expert by your side—making it easier than ever to understand what your soil data is telling you.
Quantified Metrics for Clearer Decision-Making
Beyond qualitative descriptions, the tool delivers quantified summaries of the variation in nutrient and carbon levels. These statistics help answer critical questions, such as:
How consistent are nutrient values across my field?
Is soil organic carbon evenly distributed, or are there significant pockets of variation?
What is the spread between minimum, maximum, and average values?
By converting map data into easy-to-digest metrics, the tool gives users a stronger grasp of how soil properties differ across their site—empowering more targeted, data-driven land management.
A New Level of Efficiency for Soil Insights
With LLM-powered map interpretation, Deep Planet users can now:
✔ Spend less time analysing maps and more time acting on insights
✔ Reduce uncertainty when interpreting nutrient or SOC variation
✔ Improve communication with growers, clients, or internal teams
✔ Enhance overall data-driven decision-making
We built this tool to help you understand your soil faster and with greater confidence—because better insights lead to better outcomes for farms and the planet.
Interested to learn more? Why not sign up for our Beta trial?