TechCrunch's Harri Weber reports that AI startup Avalo is making serious headway with climate resilient agriculture.
Durham-based startup Avalo is utilizing machine learning models to accelerate and reduce the cost of crop breeding for climate change resilience.
Unlike traditional methods, Avalo identifies genetic traits, like heat tolerance, in seedlings using genotyping, bypassing the need for field expression. By cultivating seedlings in accelerated conditions, Avalo can achieve four development cycles in a year compared to one annually.
The company has successfully created a fast-maturing broccoli variety for a vertical-farming startup and is working on projects involving latex-producing dandelions, soy and corn traits, and drought-tolerant cotton.
Avalo aims to democratize genomics for various crops, envisioning a future where resources are allocated efficiently and affordably to enhance global agriculture.
(This article was written with assistance from ChatGPT)