May 2nd, 2019

Hortifrut uses AI to Determine the Freshness of Blueberries

RSS icon RSS Category: Community, Customer, Data Science, Driverless AI, Manufacturing, Use Cases

Who doesn’t love sweet, delicious blueberries?

Providing a steady supply of beautiful, tasty berries to the market is no small effort and Hortifrut, based in Chile, has been growing and distributing berries for the last 30 years. Today, they are using AI to provide fresh berries to the world everyday.

Hortifrut, the largest global producer and distributor of blueberries requires a large worldwide network of farms and a flexible and reliable supply chain that can deliver fresh berries all year. As both the grower and the supplier, Hortifrut wanted to better understand how to deliver the highest quality of fruit at the final destination. In other words, prior to shipping, Hortifrut wanted to predict freshness or spoilage upon receipt at the final destination. They wanted to save on shipping costs and resulting claims if models predicted that the fruit based on a set of variables including the varietal, the weather, the shipping container, the method of shipping, etc determined that the quality was poor upon arrival.

By using H2O Driverless AI, the data scientists at Hortifrut devised ways to predict product yield upon delivery using data about the berry combined with shipment method and time. “Data about the specific varietal and field that produced it are important to understanding how the berries will fair in transit,” explains Wei Shao, data scientist, Hortifrut.

“We are building hundreds of models to ensure a quality product arrives at its destination. H2O Driverless AI is and will be instrumental in saving Hortifrut time and costs associated with growing and shipping quality blueberries to all points of the world,” explains Gonzalo Bustos, head of data analytics at Hortifrut. “We are getting great results with H2O Driverless AI. What once took us 3 to 5 months using traditional data science methods, can now be done in 3 to 5 weeks without having to add any additional data scientists to the team.”

Specifically, Hortifrut uses Driverless AI to be able to scale their data science efforts and improve their ability to predict the quality of blueberries based on information such as variety, farm origin, packaging, shipping time and vessel. Hortifrut is also using Driverless AI to predict future production of the blueberries dependent on the origin, weather, variety, and more.

Who knew that sweet juicy blueberry you had for breakfast is the result of data scientists at a Chilean company using AI to predict the quality and best delivery of their fruit. This is just one example of how Driverless AI is helping to improve business outcomes. Better blueberries mean better business.

 

 

 

 

 

About the Author

Ingrid Burton
Ingrid Burton

Ingrid Burton is CMO at H2O.ai, the open source leader in AI and machine learning. She has several decades of experience leading global marketing teams to build brands, create demand, and engage and grow communities. She also serves as an independent director on the Extreme Networks board. Prior to H2O.ai she was CMO at Hortonworks, where she drove a brand and marketing transformation, and created ecosystem programs that positioned the company for growth. At SAP she co-created the Cloud strategy, led SAP HANA and Analytics marketing, and drove developer outreach. She also served as CMO at Silver Spring Networks and Plantronics after spending almost 20 years at Sun Microsystems, where she was head of Sun marketing, led Java marketing to build out a thriving Java developer community, championed and led open source initiatives, and drove various product and strategic initiatives. A developer early in her career, Ingrid holds a BA in Math with a concentration in Computer Science from San Jose State University.

Leave a Reply

Fallback Featured Image
Machine Learning in the Age of AutoML

“Just as electricity transformed almost everything 100 years ago, today I actually have a hard

May 15, 2020 - by Parul Pandey
Are All Your AI and ML Models Wrong?

We are living in unprecedented times. Our society and economy are experiencing shocks beyond anything

May 5, 2020 - by James Orton
Lessons of COVID-19 and Moving Forward: Key Takeaways

This week, we hosted our second virtual panel focused on how AI can empower healthcare

May 1, 2020 - by Ingrid Burton
Running H2O cluster on a Kubernetes cluster

H2O is an open-source, in-memory platform for distributed, scalable machine learning. A perfect match for

April 14, 2020 - by Pavel Pscheidl
H2O Release 3.30 (Zahradnik)

There’s a new major release of H2O, and it’s packed with new features and fixes! Among

April 7, 2020 - by Michal Kurka
Brief Perspective on Key Terms and Ideas in Responsible AI

INTRODUCTION As fields like explainable AI and ethical AI have continued to develop in academia and

April 2, 2020 - by Benjamin Cox

Join the AI Revolution

Subscribe, read the documentation, download or contact us.

Subscribe to the Newsletter

Start Your 21-Day Free Trial Today

Get It Now
Desktop img