How Pythian and Google helped reduce pesticide use in high-value crops

Posted in: Business Insights, Cloud, Google Cloud Platform

Semios is a Vancouver-based data analytics company for growers of high-value crops such as almonds and apples. It uses a combination of machine learning, in-crop wireless networks and half a million IoT sensors across 80,000 acres to offer real-time monitoring that helps predict, identify and prevent pests and diseases while reducing pesticide use.

Along with other data piped in from third-party sources, this all adds up to more than 200,000 data points coming into its system every day – a number expected to double this year.

So when Semios needed to migrate from an on-premises solution to Google Cloud Platform, the company worked with Pythian, a Google Premium Partner, to transition and implement the company’s new data solution.

Semios now uses Google BigQuery to connect, integrate and analyze its data in real-time. And along with the well-established benefits of moving their data warehouse to the cloud, the company can now also take advantage of features like Google’s Cloud Machine Learning Engine to use AI to identify pests, and Google Earth Engine to add geospatial information to the mix.  

View the case study here.



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About the Author

Lynda Partner is a self-professed data addict and experiences the power of data every day as Pythian’s Vice President of Analytics-as-a-Service. The author of Pythian’s Love Your Data mantra, Lynda understands very well how data can transform companies into competitive winners and she was the driving force in adding an analytics practice to Pythian’s database focus. Lynda works with companies around the world and across industries to turn data into insights, predictions and products, and is the co-author of Designing Cloud Platforms.

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