Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Li, Qitong, Dave, Raj Nileshbhai, Phiri, Rhema Amanda, Zhang, Leo, Zheng, Xiaoyu, Blake, Ariana, Ford, Livia, Jones, Sarah, Strickler, Susan R., Arora, Nivedita
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866918477754793984
author Li, Qitong
Dave, Raj Nileshbhai
Phiri, Rhema Amanda
Zhang, Leo
Zheng, Xiaoyu
Blake, Ariana
Ford, Livia
Jones, Sarah
Strickler, Susan R.
Arora, Nivedita
author_facet Li, Qitong
Dave, Raj Nileshbhai
Phiri, Rhema Amanda
Zhang, Leo
Zheng, Xiaoyu
Blake, Ariana
Ford, Livia
Jones, Sarah
Strickler, Susan R.
Arora, Nivedita
contents Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Photosynthesis, the process that fuels nearly all life on Earth, provides a compelling context for such learning, particularly in understanding how plants alter their photosynthetic strategies in response to environmental changes. However, existing tools for studying photosynthesis are often inaccessible or limited to demonstrating its presence, rather than capturing its temporal dynamics. We present PhytoBits, a frugal in situ gas-exchange sensing toolkit for distinguishing and teaching photosynthetic strategies. PhytoBits combines leaf enclosure with accessible materials, an off-the-shelf CO2 sensor, and a low-cost microcontroller, to support multi-day monitoring of plant gas-exchange in educational and research contexts. We validated PhytoBits against research-grade gas-exchange systems, confirming that it identifies C3 and CAM (Crassulacean Acid Metabolism) photosynthetic pathways. In addition to obligate CAM, PhytoBits also resolves facultative CAM and developmental CAM dynamics in plants. This work presents an early-stage hardware validation; user deployment studies, open-source code dissemination, and automated pathway classification are planned as future work.
format Preprint
id arxiv_https___arxiv_org_abs_2604_26305
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration
Li, Qitong
Dave, Raj Nileshbhai
Phiri, Rhema Amanda
Zhang, Leo
Zheng, Xiaoyu
Blake, Ariana
Ford, Livia
Jones, Sarah
Strickler, Susan R.
Arora, Nivedita
Human-Computer Interaction
Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Photosynthesis, the process that fuels nearly all life on Earth, provides a compelling context for such learning, particularly in understanding how plants alter their photosynthetic strategies in response to environmental changes. However, existing tools for studying photosynthesis are often inaccessible or limited to demonstrating its presence, rather than capturing its temporal dynamics. We present PhytoBits, a frugal in situ gas-exchange sensing toolkit for distinguishing and teaching photosynthetic strategies. PhytoBits combines leaf enclosure with accessible materials, an off-the-shelf CO2 sensor, and a low-cost microcontroller, to support multi-day monitoring of plant gas-exchange in educational and research contexts. We validated PhytoBits against research-grade gas-exchange systems, confirming that it identifies C3 and CAM (Crassulacean Acid Metabolism) photosynthetic pathways. In addition to obligate CAM, PhytoBits also resolves facultative CAM and developmental CAM dynamics in plants. This work presents an early-stage hardware validation; user deployment studies, open-source code dissemination, and automated pathway classification are planned as future work.
title Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration
topic Human-Computer Interaction
url https://arxiv.org/abs/2604.26305