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

Spanish

Las plantas vivas, como los animales, utilizan señales eléctricas para llevar información sobre su estado fisiológico a través de su cuerpo, desde raíces a ramas. Estas señales pueden ser grabadas, como son en animales, de un par de electrodos extracelulares diferenciados insertados en el tejido conductor de señales. Mientras que los modelos de aprendizaje automático han sido capacitados para predecir estados de estrés específicos de las plantas a partir de estas señales, cada uno de estos modelos ha sido entrenado para una sola tarea y ninguno ha sido diseñado para transferir a través de tareas, especies o entornos. Estos enfoques no permiten escalar fácilmente a través de una amplia gama de especies y entornos que son relevantes para la agricultura, la silvicultura y la horticultura para plantas comerciales y de cuidado de consumidores

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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