Newest papers

Bombadil: A Foundation Model for Plant Electrophysiology

James Kirk, Piotr Bednarski, Filip Twardy, Justin Mast, Lee von Kraus · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.26597 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

活生生的植物,像动物一样,使用电信号传输信息,他们的身体,从根到分支,从生理状态的信息,这些信号可以被录制,因为它们在动物中,从一对差异的细胞外电极插入信号导电组织。虽然机器学习模型已经训练预测特定植物压力状态从这些信号,这些模型每一个都被训练为一个单一的任务,没有被设计为跨任务,物种,或环境传输。 这些方法不允许轻松扩展广泛的物种和环境,这是相关的农业,林业和园艺,无论是商业和消费者的护理工厂。 在这里,我们介绍了Bombadil,一个类型的基础模型,相同的植物生理学,预先训练,没有标签,超过400万小时的电信号记录

Machine translation (Meta M2M100); the English original follows.

Abstract

Living plants, like animals, use electrical signals to carry information about their physiological state across their body, from roots to branches. These signals can be recorded, as they are in animals, from a pair of differential extracellular electrodes inserted into signal-conducting tissue. While machine-learning models have been trained to predict specific plant stress states from these signals, each of these models has been trained for only a single task and none have been designed to transfer across tasks, species, or environments. These approaches do not allow easy scaling across the wide range of species and environments that are relevant to agriculture, forestry, and horticulture for both commercial and consumer plant care. Here we present Bombadil, a foundation model for plant electrophysiology, pretrained without labels on over 4 million hours of electrical signals recorded from 100 plant species in ten distinct environments, including laboratories, greenhouses, commercial orchards, and natural forests. In this way, Bombadil is able to learn the fundamental features of plant electrical signals across a wide array of species and environments. Then, from those same electrical signals, Bombadil tracks changes in seven physiological indicators of plant stress, even among species and stressors with no labels in training.

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Topics: Plant species, Plant life, Task (project management), Engineering, Foundation (evidence), Range (aeronautics)

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