Case Study: SeeTree achieves faster, more transparent agricultural insights with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the SeeTree Case Study

SeeTree Helping create carbon credits with rapid machine learning insights

SeeTree, an Israel-based agriculture technology company, helps farmers monitor the health and productivity of each tree using machine learning and human intelligence. The company faced the challenge of scaling its data-heavy platform to deliver accurate insights for growers, including per-tree analysis, crop optimization, and carbon credit verification.

Using Google Cloud Platform products such as BigQuery, Google Kubernetes Engine, Firestore, and Vertex AI, SeeTree processed hundreds of millions of data points in seconds and automated large-scale farm and forest analysis. With Google Cloud Platform, carbon credit verification time dropped from nine months to a matter of weeks, and new features could be delivered in weeks instead of about a year.


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SeeTree

Uri Rosenzweig

Chief Product Officer


Google Cloud Platform

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