Sencrop Improves Sustainability in Farming by Using AWS for Its In-Field Data Application
Using AWS, Sencrop built a microclimate application that uses ML to provide more accurate weather and climate data to farmers to help them implement sustainable agricultural practices.
Benefits
1.5
billion weather data points gathered daily80
terabytes of data stored in system68%
of farmers saved farm vehicle trips76%
of farmers moved toward sustainable farmingOverview
Farmers rely on accurate weather predictions to optimize crop yields and implement sustainable agricultural practices. The problem is that accurate forecasts aren’t always so easy to come by; even rainfall predictions are right only 40 percent of the time. Sencrop, a smart agriculture startup based in France, wanted to create a solution that would enhance the accuracy of weather predictions and give farmers access to precise climate condition insights to support data-driven decision-making.
Sencrop built its microclimate application on Amazon Web Services (AWS) using core services such as Amazon EMR—a cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning (ML). Using Sencrop’s solution, almost 30,000 farmers across Europe improved sustainability efforts by reducing water use, chemical spray treatment frequency, and tractor and harvester trips.

About Sencrop
Sencrop provides a microclimate application to help farmers produce higher crop yields and develop sustainable practices. Its app allows farmers to access precise climate and observational data so that they can optimize decision-making in the field.

Using AWS, we can expand to a new region in a new part of the world and keep our architecture exactly the same.
Mathieu Despriée
CTO, SencropGet Started
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