Electric Plant deciphers plant language with AI model
electric plant built an ai model to interpret electrical signals in plants, helping growers optimize care. this could boost yields and reduce water use.
electric plant, a startup founded by justin mast and lee von kraus, has developed an ai model called bombadil that can interpret electrical signals in plants. the model was trained on data from 125 different species and can help growers optimize care. electric plant's sensors, which are significantly cheaper than existing tools, are attached to a plant and collect data that is sent to a base station via a low-power wireless network. the data is then interpreted by bombadil in the cloud, and the results are sent back to the customer. this technology could boost yields and reduce water use by 20% or more. electric plant recently raised $11.2 million in seed funding to bring its technology to market.