AI case study

SencropPrecision weather forecasting

Standard rain forecasts are only 40% accurate. ML now fuses data from 40,000 sensors to deliver hyper-local predictions to farmers.

Published|1 year ago

Key results

Growers Reducing Sprays
90%
Farmers Reporting Help
76%
Farmers Saving Trips
68%

Result highlights

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The story

Context

A smart agriculture platform serving nearly 30,000 European farmers, collecting 1.5 billion daily data points from weather forecasts and 40,000 in-field sensors.

Challenge

Farmers rely on weather data to optimize yields, yet standard rainfall predictions are accurate only 40 percent of the time. The startup needed to...

Solution
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Quotes

The company

Connected weather stations and data platform for precision agriculture.

IndustryIndustrial & Manufacturing
LocationLille, France
Employees51-250
Founded2016

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

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