AI case study

FMCPest prediction

Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.

Published|3 weeks ago

Key results

Increase in Models
83%
vs 18 models

Result highlights

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The story

Context

An agricultural sciences company protects crops from insect pests by delivering digital insights to growers based on field data and predictive modeling.

Challenge

Data scientists worked in isolated environments with manual deployments, creating bottlenecks that prevented the scaling of machine learning...

Solution
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Scope & timeline

  • >50% reduction in model creation person-hours

Quotes

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The company

Agricultural sciences company providing crop protection and plant health products.

IndustryIndustrial & Manufacturing
LocationPhiladelphia, PA, USA
Employees5K-10K
Founded1883

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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