← Back to CNH analyzes geospatial data to improve crop outputs

Source proof for CNH analyzes geospatial data to improve crop outputs

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

11 fields supported

Title

CNH analyzes geospatial data to improve crop outputs

quote · high
CNH analyzes geospatial data to improve crop outputs | Databricks Skip to main content Login Why Databricks Discover For App Develop…

Description

CNH used the Databricks Data + AI Platform to drastically reduce the time it takes to analyze massive volumes of geospatial data on weather patterns and crop outputs, using Delta Lake, Unity Catalog, and built-in H3 indexing to scale geospatial aggregations that previously were not possible to analyze.

quote · high
…tively gather insights. That’s why CNH turned to Databricks Data + AI Platform. Now, the company can drastically reduce the time it takes to analyze massive volumes of geospatial data to identify how weather patterns can impact crop ouputs. Not only does this save costs and boost collaboration, but it also allows CNH t…

Company

CNH

quote · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / CNH CUSTOMER STORY Improving the way farmers monitor crops 12x Faster analysis of g…

Industry

Manufacturing

classification · high
…gricultural and construction professionals everywhere.” Share this post Details Industry : Manufacturing Use Case : Data Science , Data Engineering Product : Agent Bricks , Delta Lake…

Problem

CNH needed to analyze agricultural geospatial data at scale — with tens of thousands of polygons ingested daily — to identify how weather patterns impact crop outputs, but it was difficult to add even basic geographic insights into reports or dig deeper into the data.

quote · high
…ducts. One particular challenge is managing geospatial analysis data at scale. “With tens of thousands of polygons being ingested daily, it was difficult, if not impossible, to add even basic geographic insights into our reports,” William Kafes, Senior Data Engineer at CNH, said. “This meant we couldn’t dig…
…insights into our reports,” William Kafes, Senior Data Engineer at CNH, said. “This meant we couldn’t dig deeper into our data to understand what we could really improve upon.” It was clear that CNH needed a solution that could help them ingest large amou…

Solution

CNH used Delta Lake to ingest and store data with ACID transactions and scalable performance, Unity Catalog for fine-grained access controls and governance, collaborative notebooks for cross-team work, and the built-in H3 indexing system and Databricks's spatial library to analyze geospatial aggregations.

quote · high
…mounts of data, CNH used multiple aspects of the Databricks Data + AI Platform. The company used Delta Lake to ingest and store their data, ensuring ACID (atomicity, consistency, isolation, durability) transactions and scalable performance. With Unity Catalog, CNH could implement fine-grained access controls and data g…
…ity, consistency, isolation, durability) transactions and scalable performance. With Unity Catalog, CNH could implement fine-grained access controls and data governance. Then, the collaborative notebooks allowed the team to fully utilize their skill…
…og, CNH could implement fine-grained access controls and data governance. Then, the collaborative notebooks allowed the team to fully utilize their skill sets to remove roadblocks quickly and maintain high-quality data. CNH also tapped into the built-in H3 indexing system and Databricks’s spatial l…
…e their skill sets to remove roadblocks quickly and maintain high-quality data. CNH also tapped into the built-in H3 indexing system and Databricks’s spatial library to bolster their ability to analyze geospatial aggregations, which can help farmers better analyze crop conditions. All of this has led to…

Business value

CNH significantly reduced the time it took to run geospatial aggregations — what previously took a full day can now be done in just two hours — reducing storage and compute costs, allowing daily refreshes, and letting anyone on the team add geographic information to reports without a specialized geospatial background.

quote · high
…I-driven agricultural innovations at scale Thanks to Databricks and Databricks, CNH significantly reduced the time it took to run geospatial aggregations. What previously took a full day can now be done in just two hours. This greatly reduces storage and compute costs and allows for daily refreshes. As a result, anyone on the team can now efficiently add geographic information to their reports without the need for a specialized geospatial background. This democratization of data has opened up the doors for greater collaboration,…

Technology

Delta Lake, Unity Catalog

classification · high
…ost Details Industry : Manufacturing Use Case : Data Science , Data Engineering Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…

Headline outcome

derived · high
…s Customer Stories / CNH CUSTOMER STORY Improving the way farmers monitor crops 12x Faster analysis of geospatial data to monitor crop conditions CNH is a worldwide producer of agricultural and construction equipment. However…

Use case type

Analytics augmentation

classification · medium
…I-driven agricultural innovations at scale Thanks to Databricks and Databricks, CNH significantly reduced the time it took to run geospatial aggregations. What previously took a full day can now be done in just two hours. This greatly…

AI capabilities

AI Model Development & MLOps

classification · low
…pened up the doors for greater collaboration, time -to -value, and scalability. CNH will only continue using Databricks and Databricks to create more AI-driven efficiencies and find new ways to help their customers do their work more effectively. “We’r…
Capture details
Captured
07 Sept 2026, 06:04 UTC
Extractor
fetch-strip@1
Snapshot hash
0508f44b70806c88c6f232b1b342eede44fec7e23431d36b70a6cad1fd5eaa98