初创公司Electric Plant开发了名为Bombadil的AI模型，用于解读植物茎干中的电信号，从而推断植物对水、养分和光的需求1。该公司近日完成1120万美元种子轮融资，由Onto Ventures和Climactic领投1。
Bombadil模型可解读约125个不同植物品种的电信号1。Electric Plant配套的传感器成本仅为数十美元，远低于现有工具数千美元的价格1。该公司声称其技术可提高产量，同时减少用水20%或更多1。Electric Plant已花费三年时间收集数据来构建该模型1。
公司由CEO Justin Mast和神经科学家Lee von Kraus联合创办，后者曾与DARPA合作1。
Electric Plant, a newly funded startup, has created an artificial intelligence system called Bombadil designed to interpret electrical signals transmitted through plant stems, enabling farmers to determine when crops need water, nutrients, or light 1. The company recently closed an $11.2 million seed funding round led by Onto Ventures and Climactic 1.
The Bombadil model can decode electrical signals from approximately 125 different plant species 1. What distinguishes Electric Plant's approach is the affordability of its technology: the company's sensors cost around ten dollars each, substantially cheaper than existing agricultural monitoring equipment which typically costs thousands of dollars 1. According to the startup, implementing this system can increase crop yields while reducing water consumption by more than 20 percent 1.
The company spent three years gathering data to develop the model 1. Electric Plant was co-founded by Justin Mast, who serves as CEO, and Lee von Kraus, a neuroscientist who previously collaborated with DARPA 1.
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