Longitudinal Crop Characteristics for Different Lighting Conditions in a Vertical Farm

Citation Author(s):
Rafael Gomes
Alves
Centro Universitario FEI
Fabio
Lima
Centro Universitario FEI
Ítalo Moraes Rocha
Guedes
EMBRAPA
Salvador Pinillos
Gimenez
Centro Universitario FEI
Submitted by:
Rafael Alves
Last updated:
Tue, 04/08/2025 - 17:23
DOI:
10.21227/367s-gr63
Data Format:
*.csv
Links:
Corresponding Author Homepage
License:
Creative Commons Attribution
38 Views
Categories:
Agriculture
Artificial Intelligence
Light, Lighting and Illumination
Keywords:
Vertical farm, crop characteristic, lighting conditions, spectral composition
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Abstract 

This dataset presents longitudinal measurements of plant growth characteristics under varying lighting conditions. Collected for 30 individual plants, the data spans multiple time points and includes key variables such as plant fresh weight (g), plant height (mm), plant width (mm), and number of leaves. Each measurement is associated with a specific plant, date (DD/MM/YYYY), experimental group, and a lighting recipe defined by the percentage composition of Red, Green, and Blue light. This dataset facilitates the comparative analysis of plant growth and yield across different treatment groups and light recipes in a vertical farm setup. Potential applications include the evaluation of growth rates, the development of predictive growth models, and the visualization of plant growth trajectories over time. Further details regarding the experimental design and specific lighting recipes are available in accompanying documentation.

Instructions: 

This dataset contains longitudinal data tracking various variables related to plant growth under different lighting conditions. Each row represents a single measurement taken for a specific plant on a particular date. The dataset includes the following columns:

  • Plant: A unique identifier for each individual plant being tracked in the study. (Ranges from 1 to 30)
  • Date: The date on which the measurement was recorded, in DD/MM/YYYY format. (Eg. 04/12/2024 stands for 4th of december of 2024)
  • Variable: The specific characteristic or measurement being recorded. This include variables such as plant fresh weight (g), plant height (mm), plant width (mm) and number of leaves.
  • Value: The numerical value of the recorded measurement for the specified Variable on the given Date for the respective Plant. The units of this value will depend on the Variable.
  • Group: An identifier indicating the experimental group or treatment to which the plant belongs. This allows for the comparison of plant growth under different conditions. Each group is a different treatment in a cultivation chamber for a particular vertical farm setup. 
  • Recipe: A label or identifier specifying the particular composition of Red, Green and Blue light. These receipes are presented in percentage always adding up to 100%. 

Potential Uses:

This dataset can be used for various analyses, including:

  • Comparing the growth rates and final yields of plants under different experimental groups or recipes.
  • Developing models to predict plant growth based on the provided variables.
  • Visualizing the growth trajectories of individual plants or groups over time.

Note: Further details about the specific variables measured, the experimental design, and the "recipes" used should be provided in accompanying documentation or a related publication for a comprehensive understanding of this dataset.

Funding Agency: 
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Grant Number: 
001

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