A Novel Invention for Controlled Plant Cutting Growth: Chamber Design Enabling Data Collection for AI Tasks

The Cutting Development Chamber (CDC) design is presented as an innovative solution to crucial human challenges, such as food and plant medicinal production. Unlike conventional propagation chambers, the CDC is a much more comprehensive research tool, specifically designed to optimize plant reproduction from cuttings. It maintains precise control over humidity, temperature, and lighting, which are essential parameters for plant development, thus maximizing the success rate, even in difficult-to-propagate species. Its modular design is one of its main strengths, allowing users to adapt the chamber to their specific needs, whether for research studies or for larger-scale propagation. The most distinctive feature of this chamber is its ability to collect detailed, labeled data, such as images of plant growth and environmental parameters that can be used in artificial intelligence tasks, which differentiate it from chambers that are solely used for propagation. A study that validated and calibrated the chamber design using cuttings of various species demonstrated its effectiveness through descriptive statistics, confirming that CDC is a powerful tool for research and optimization of plant growth. In validation experiments (Aloysia citrodora and Stevia rebaudiana), the system generated 6579 labeled images and 67,919 environmental records, providing a robust dataset that confirmed stable control of temperature and humidity while documenting cutting development.

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Publication Details

Journal
Inventions
Published
2025-11-21
DOI
https://doi.org/10.3390/inventions10060108
Primary Topic
Plant and Biological Electrophysiology Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Novel Invention for Controlled Plant Cutting Growth: Chamber Design Enabling Data Collection for AI Tasks

Carlos Alberto Olvera-Olvera, Celina Lizeth Castañeda-Miranda, Francisco Eneldo López-Monteagudo, Genaro M. Soto-Zarazúa et al.
Inventions
Plant and Biological Electrophysiology Studies
article

A Novel Invention for Controlled Plant Cutting Growth: Chamber Design Enabling Data Collection for AI Tasks

Carlos Alberto Olvera-Olvera, Celina Lizeth Castañeda-Miranda, Francisco Eneldo López-Monteagudo, Genaro M. Soto-Zarazúa, Valeria Maeda-Gutiérrez, Manuel de Jesús López-Martínez, Manuel Rivera-Escobedo, Jesús Gerardo Ávila-Sánchez, Sven Verlienden
article en

Abstract

The Cutting Development Chamber (CDC) design is presented as an innovative solution to crucial human challenges, such as food and plant medicinal production. Unlike conventional propagation chambers, the CDC is a much more comprehensive research tool, specifically designed to optimize plant reproduction from cuttings. It maintains precise control over humidity, temperature, and lighting, which are essential parameters for plant development, thus maximizing the success rate, even in difficult-to-propagate species. Its modular design is one of its main strengths, allowing users to adapt the chamber to their specific needs, whether for research studies or for larger-scale propagation. The most distinctive feature of this chamber is its ability to collect detailed, labeled data, such as images of plant growth and environmental parameters that can be used in artificial intelligence tasks, which differentiate it from chambers that are solely used for propagation. A study that validated and calibrated the chamber design using cuttings of various species demonstrated its effectiveness through descriptive statistics, confirming that CDC is a powerful tool for research and optimization of plant growth. In validation experiments (Aloysia citrodora and Stevia rebaudiana), the system generated 6579 labeled images and 67,919 environmental records, providing a robust dataset that confirmed stable control of temperature and humidity while documenting cutting development.

InventionsVol. 10(6)
West Virginia University (US), Autonomous University of Queretaro (MX), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Openalex Percentile: Top 74%
Plant and Biological Electrophysiology Studies
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