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Daily news and analysis about the food tech revolution

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Google Takes on Food Waste With Food Tech Innovations Built by X

X, the “moonshot factory” of Google parent company Alphabet, announced today that two prototypes developed as part of a project called Project Delta have graduated and are now being transferred to Google for scaling and commercialization.

Project Delta, which has been incubating within X for the past two and a half years, was led by Emily Ma, who announced the transition to Google today in a blog post.

From the post:

Our team’s mission was to create a smarter food system — one that knows where the food is, what state it’s in, and where best to direct it to ensure it doesn’t end up in a landfill and instead goes to the people who need it most. After two and a half years of prototyping and testing a range of technologies to help reduce food waste and food insecurity, I’m pleased to share that some of our prototypes and team are moving to Google so we can scale up our work.

In her post, Ma highlights two prototypes developed as part of Project Delta. The first is an “intelligent food distribution network” nicknamed “dana-bot.” To build dana-bot, the X team took a dataset donated by the Southwest Produce Cooperative, categorized and standardized each entry, and then used it to match food in food banks and pantries based on “real-time needs in the Feeding America network.” Grocery chain Kroger also leveraged dana-bot to manage excess deli products, which allowed it to open up “millions more meals to communities that need it.”

Above: Project Delta’s prototype food identification and categorization system uses machine learning to automatically identify different types of food.

The second prototype utilized computer vision and machine learning to capture images of food thrown out in Alphabet kitchens. After running it in 20 different units across Alphabet cafes over a period of six months, the system was “able to automatically collect two times as much information about the kitchen’s food waste as the manual system.”

And now these two systems are graduating to Google proper, where Ma says her team hopes to “start tackling food waste and food insecurity on a larger scale.” The team plans to roll out its computer vision system to more Alphabet kitchens and utilize Google’s resources to expand the food distribution network and eventually offer it to other organizations.

As more and more venture funding pours into the future of food, it looks like big tech is starting to also wake up to the possibilities of applying their technology innovation to creating a new food system. Google is no exception. This news is just the latest development from Google and its parent company Alphabet that could have larger-scale implications on the broader food system.

Last week Alphabet announced that its DeepMind group had used AI to help solve a grand challenge around protein structure prediction that the scientific community had been working on for half a century. In August, Google Lookout added food label reading to help the visually impaired, and back in 2017 the company unveiled that its Lens visual discovery technology could serve up recipe suggestions based on images of food.

Six Suggestions for Alphabet X’s Agriculture Ambitions

Alphabet X (part of Google family of companies), said that it is exploring ways to use AI to improve food production. During the MIT EmTech Digital event in San Francisco yesterday, Astro Teller, the head of X didn’t provide many details other than they may be looking at combining machine learning with drones and robotics for farming.

X is Alphabet’s ambitious “Moonshot Factory,” whose mission is to take on projects that they “hope could someday make the world a radically better place.” As the MIT Technology Review writes:

To be worthy of X’s attention, a project must fulfill three criteria: it has to potentially solve a problem that affects millions or billions of people; it has to involve an audacious, sci-fi-sounding technology; and there has to be at least a glimmer of hope it’s achievable within five to 10 years.

I understand that there are a lot of smart people working at Alphabet, and X’s mission is to invent and launch these world saving technologies. But we cover the intersection of AI and Ag here at The Spoon, and we’d love to put a few early stage startups on X’s radar.

First, let’s assume X is already looking in its own backyard. Sister Alphabet company, Google Ventures, has put money into companies like Abundant Robotics, Skycatch, and Farmers Business Network. And I’m sure Alphabet isn’t above synergizing across platforms to effectuate paradigm improvements throughout their stack.

But after that bit of corporate introspection, X can look outward, and we’re here to help. These are some startups we’ve covered that are intelligently using artificial intelligence or robots to improve food production and reduce food waste, and could make a radical impact at scale:

AgShift uses computer vision and machine learning to create objective food quality assessments throughout the supply chain. Using just a mobile phone app, inspectors can make nationwide food distribution more efficient and effective.

SomaDetect combines old light scattering detection tech with modern AI to determine the quality of milk and early spotting of Mastitis, a serious udder infection that is common–and deadly–among cows.

Farmstead is a grocery delivery startup, but it’s AI facilitates optimized inventory stocking in stores to decrease over-ordering (and subsequent spoilage and waste) as well as increased purchases from local sources.

ImpactVision applies its machine learning to hyperspectral images of food to assess quality and freshness to generate more transparency in the food chain.

Augean Robotics built the Burro, an autonomous worker robot that can carry food or tools and follow farm workers around with no beacon, remote or GPS required. Burro also maps routes to become a mobile conveyor belt for more efficient harvesting.

Huxley creates “plant vision” for farmers and growers. Through a combination of AI and augmented reality glasses, information about the types of plants and their various stages of growth can be quickly surfaced in a heads up display.

Of course, if X wants a deeper look into the future of food, we’re hosting our Smart Kitchen Summit Europe in June. Advances in AgTech are sure to be on the agenda.