It can take up to 15 years for seed companies to develop products for farmers. Those companies have relied on past weather trends to predict future needs, but climate change scrambles that approach. So San Francisco-based ClimateAi developed a new method for creating long-term forecasts. Built around neural networks trained on a mix of forward- and backward-looking datasets, ClimateAi generates hyper-local forecasts 20 years into the future, predicting average temperatures, extreme weather, water availability, and even potential pests. Fifteen food and agriculture companies have already used the tool to help develop future-proof produce. But ClimateAi’s tech has applications beyond farming, says co-founder and CEO Himanshu Gupta. Knowing the risk of flooding well into the future, for example, means companies can make the right choices now when choosing new locations.
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