Odor Communication with Green Leaf Volatiles for Stress Signalling in the Internet of Plants

Fuente: arXiv
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Auteurs principaux: Merdan, Fatih, Akan, Ozgur B.
Format: Preprint
Publié: 2026
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author Merdan, Fatih
Akan, Ozgur B.
author_facet Merdan, Fatih
Akan, Ozgur B.
contents This paper develops an end-to-end odor communication model for stress signaling between plants using Green Leaf Volatiles (GLV). A damaged transmitter plant emits (Z)-3-hexenal, (Z)-3-hexenol, and (Z)-3-hexenyl acetate, which propagate through a time-varying diffusion-advection channel and undergo multiplicative loss at the receiver. The sink plant is modeled with a biochemical receiver network that converts the received GLVs into the defensive metabolite (Z)-3-hexenyl $β$-vicianoside, and an alarm decision is defined based on its concentration level. Numerical results show that (Z)-3-hexenol is the primary driver of the system and that plant perception generally operates in a non-linear region. These findings provide a framework for understanding the evolution of plant-plant communication and for developing next-generation precision farming technologies.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16850
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Odor Communication with Green Leaf Volatiles for Stress Signalling in the Internet of Plants
Merdan, Fatih
Akan, Ozgur B.
Signal Processing
This paper develops an end-to-end odor communication model for stress signaling between plants using Green Leaf Volatiles (GLV). A damaged transmitter plant emits (Z)-3-hexenal, (Z)-3-hexenol, and (Z)-3-hexenyl acetate, which propagate through a time-varying diffusion-advection channel and undergo multiplicative loss at the receiver. The sink plant is modeled with a biochemical receiver network that converts the received GLVs into the defensive metabolite (Z)-3-hexenyl $β$-vicianoside, and an alarm decision is defined based on its concentration level. Numerical results show that (Z)-3-hexenol is the primary driver of the system and that plant perception generally operates in a non-linear region. These findings provide a framework for understanding the evolution of plant-plant communication and for developing next-generation precision farming technologies.
title Odor Communication with Green Leaf Volatiles for Stress Signalling in the Internet of Plants
topic Signal Processing
url https://arxiv.org/abs/2602.16850