{"slug":"fmc-optimizes-harvests-with-data-and-ai","url":"https://findausecase.com/use-cases/fmc-optimizes-harvests-with-data-and-ai","title":"FMC Optimizes Harvests With Data and AI","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.","company":"FMC Corporation","industry":"Manufacturing","aiCapabilities":["Predictive Analytics","Computer Vision"],"technology":["Delta Lake","Unity Catalog","Lakeflow Jobs","Agent Bricks","MLflow"],"deployment":"Public Cloud","problemStatement":"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.","businessValue":"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.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/fmc-corporation","dates":{"publishedAt":"2026-09-05T09:05:22.890Z","publishedAtSource":"pipeline","updatedAt":"2026-09-05T09:05:22.890Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/fmc-optimizes-harvests-with-data-and-ai. Bulk republication requires permission."}