AI is transforming everything from materials discovery and new product development to customer service. But what does it mean for nutrition and health?
Bringing down the cost of growth factors used in cell culture media is critical for the future of cultivated meat, says Multus Bio. But optimizing the overall formulation is equally important.
Counterintuitively, perhaps, for a technology that’s been around for decades, the extrusion process for transforming plant proteins into meat analogs remains something of a mystery, says Noa Weiss.
In the second segment of a three-part deep dive into AI in food, Peakbridge explores how artificial intelligence could transform the food supply chain.
Atinary Technologies, a Swiss-American startup deploying machine learning to accelerate the materials discovery process, has raised a $5m seed round led by AgFunder.
AI’s biggest potential impact likes in making complex analytics accessible and affordable to agrifood and agribusiness processes.
University professor and startup founder Kaiyu Guan discusses remote sensing, computational modeling and why scientific credibility is critical for agtech’s success.
Mineral aims to provide foundational and actionable data and analytics for companies across food, agriculture, and technology and it solves for a key issue holding back digital agriculture advancements for years: lacking data.
Trigo will further deploy its cashierless checkout system across Europe and the US, and develop its store and inventory management software, StoreOS.
Deere is investing in not one company but an entirely new way of doing crop protection and, ultimately, commodity farming.
Agreena will bring Hummingbird’s remote monitoring, reporting, and verification (MRV) technology in-house to further scale and validate its carbon market.
Enko will use the funding to advance its pipeline of crop protection chemistries that provide an alternative to outdate chemical-based products.
Ag journalist-turned-startup founder Tamara Leigh discusses a career spent championing the community, the cows, and other women.
The San Francisco-based startup aims to streamline the food supply chain and reduce food waste by improving digital linkages between producers, distributors, and retailers.
The startup hopes to shake up some longstanding ways of thinking about how to measure pollination while improving bee health.
The startup is using analytical chemistry, optical spectroscopy, and machine learning to create a universal data-based language for evaluating food quality.
So far, checkout-free technologies appear to be using the same recipe of technology: will they be forced to diversify or die?
Prospera recently announced its partnership with Valley Irrigation to combine its sensor-based analytics software with Valley’s pivot irrigation systems.
Sistema_VC recently hosted a conference on agtech and here Dmitry Filatov shares the key industry trends that emerged on the day including tailored food, AI-assistants for farmers, data-driven supply decisions, and more.
How much do fish need to eat? UMITRON tells us how its tech uses machine learning & IoT for aquaculture. We also interview their co-founder & MD.
Smoke & mirrors, not worth the extra cost: 50 US farmers speak out on carbon markets