Hi Fidelity Genetics (HFG), a company that uses sensors, data science, and statistical genetics to create non-genetically modified crops, just raised $8.5 million …. It’s a sign of the growing importance of data science in agriculture, and it may signal an alternative path to sustainable farming without the use of genetic modification.
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The appeal of GMOs is that scientists can select traits to suit a variety of needs, from drought tolerance or insect resistance to increased yields ….
But a new approach called computational crop breeding offers a compelling alternative. Utilizing field sensors to gauge local environments and predictive analytics to drive tailored crop breeding programs, computational breeding could help farmers and agronomists grow non-GMO crops that exhibit many of the same advantageous traits as commercial seed stock.
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Not coincidentally, HFG has been focusing on the coverage crops like corn and soy that are currently dominated by genetically modified seeds.
Read full, original article: Computational breeding: Can AI offer an alternative to genetically modified crops?
