← Back to FMC Optimizes Harvests With Data and AI

Source proof for FMC Optimizes Harvests With Data and AI

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.

10 fields supported

Title

FMC Optimizes Harvests With Data and AI

derived · high
…gin Contact Us Try Databricks Customer Stories / FMC Corporation CUSTOMER STORY Optimizing harvests with smarter agriculture 83% Higher model velocity — from 18 models to 33* 50% Fewer person-hours are no…

Company

FMC Corporation

classification · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / FMC Corporation CUSTOMER STORY Optimizing harvests with smarter agriculture 83% Higher model ve…

Description

FMC Corporation used the Databricks Data + AI Platform to unify fragmented data sources and streamline ML model development for its Arc farm intelligence app, which combines geospatial and weather data with vision-enabled sensor counts from pest traps to help growers anticipate insect infestations. The company grew deployed models from 18 to 33 (an 83% increase) and cut person-hours for model development by more than 50%, using Delta Lake, Unity Catalog, Lakeflow Jobs, Agent Bricks and MLflow.

derived · high
…our Arc™ farm intelligence app,” said Michael Seay, Sr. Data Scientist at FMC. “Vision-enabled sensors look at our pest traps and give real-time counts tied to specific crops and locations. We enrich this data to anticipate where infestations are likely to emerge.” Enr…

Problem

Each team operated independently with its own pipelines and environments, making it difficult to scale results and turn AI insights into real-time data for growers. Before Databricks, everyone was working in their own IDE, with little standardization or collaboration.

derived · high
…est prediction models, but getting those models into production was fragmented. Each team operated independently with its own pipelines and environments, making it difficult to scale results and turn AI insights into real-time data for growers. “Before Databricks, every…

Implementation approach

FMC utilizes Lakeflow Jobs to enable teams to manage their own workflows and reduce engineering dependence when building pipelines. To accelerate and scale ML, FMC uses Databricks Agent Bricks to build, train and deploy ML models.

derived · high
…s controls and ensure reliable data pipelines for ETL and model training alike. FMC utilizes Lakeflow Jobs to enable teams to manage their own workflows and reduce engineering dependence when building pipelines. To further streamline engineering work, they use the feature engineering librar…

Business value

The number of deployed models has grown from 18 to 33, representing an 83% increase, while the time to create new models has dropped from weeks to days, resulting in more than 50% fewer person-hours.

derived · high
…and technical performance. FMC has also achieved significant efficiency gains. The number of deployed models has grown from 18 to 33, representing an 83% increase*, while the time to create new models has dropped from weeks to days, resulting…

Industry

Manufacturing

classification · high
…es and specific use cases, and they are not guarantees. Share this post Details Industry : Manufacturing Use Case : Analytics and Business Intelligence , Artificial Intelligence , Data…

Technology

Delta Lake, Unity Catalog, Lakeflow Jobs, Agent Bricks, MLflow

classification · high
…Data Applications , Governance and Security , Data + AI Platform Cloud : Azure Product : Agent Bricks , AI/BI , Delta Lake , Lakeflow Jobs , Unity Catalog Ready to get started? Try Databricks for free Talk to an expert Why Databricks…

AI capabilities

Predictive Analytics, Computer Vision

classification · high
…gacy systems and architectures, which at times slowed the delivery of insights. FMC’s data scientists were developing promising pest prediction models, but getting those models into production was fragmented. Each team operated in…

Deployment options

cloud

classification · high
…Intelligence , Data Applications , Governance and Security , Data + AI Platform Cloud : Azure Product : Agent Bricks , AI/BI , Delta Lake , Lakeflow Jobs , Unity Catalog Rea…
Capture details
Captured
04 Sept 2026, 06:02 UTC
Extractor
fetch-strip@1
Snapshot hash
f61c1ef6de9a9c3981af1ffb5992a401d052ea9b7e77503150128eb6f4f19387