AI startup speeds up the creation of climate-resilient crops
Avalo is betting its machine learning models can speed up the process of creating climate-resilient crops, and make it way cheaper too.
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Avalo is betting its machine learning models can speed up the process of creating climate-resilient crops, and make it way cheaper too.
Companies are identifying and reproducing the best nitrogen producers to add to corn and other crops. Some are genetically edited to enhance nitrogen production.
Companies are identifying and reproducing the best nitrogen producers to add to corn and other crops. Some are genetically edited to enhance nitrogen production.
Companies are identifying and reproducing the best nitrogen producers to add to corn and other crops. Some are genetically edited to enhance nitrogen production.
Creating crops that'll endure climate change — think worse droughts, heat waves and pests — is a time-consuming and costly feat. Avalo is betting its machine learning models can speed that process up and make it a whole lot cheaper too. The Durham, North Carolina–based startup, which pitched onstage at the TechCrunch Disrupt Startup Battlefield competition, doesn't edit plant genes or breed crop varieties the traditional way.