Mobile and Manual Dataset for Greenhouse Tomato Crop

Mobile and Manual Dataset for Greenhouse Tomato Crop

Summary
This dataset contains weekly measurements from 135 tomato plants grown in a greenhouse under 27 different treatment combinations. Data were collected between November 9, 2023, and April 1, 2024, using a mobile station with IoT sensors, manual observations, and yield variables.

Location
The study was conducted at the Technological Development and Innovation Campus of the University of Antioquia (UdeA), located in Carmen de Viboral, Antioquia, Colombia (2,150 meters above sea level, average temperature: 17°C).

Data Collection
- Frequency: Once per week
- Number of sessions: 20
- Sensor types: Mobile IoT-based station and manual instruments
- Treatment groups: 27 combinations
- Number of plants: 135

File Information
- Format: CSV
- Rows: 2,666
- Columns: 40
- Missing or anomalous values were processed using the method described in Section 4 of the associated documentation.

Contents
The dataset includes:
- Sensor-based environmental measurements
- Manually collected variables
- Yield-related variables
- Treatment identifiers

A detailed explanation of sensors, variables, and structure is available in Section 2 of the documentation.

License
Creative Commons Attribution 4.0 International (CC BY 4.0)

Project
This dataset was developed as part of the project:
"Development of an intelligent and energy-autonomous agriculture platform for continuous monitoring of relevant variables aimed at improving productivity and mitigating environmental impact in Antioquia and Quindío horticultural crops"  
(BPIN Code: 2022000100012)  
Executed by the University of Antioquia.

Suggested Use
The dataset supports analysis of treatment effects, yield prediction modeling, and development of decision support systems for smart agriculture.

Contact
For more information about dataset usage:
Paulina Arregocés-Guerra  
PAI Project  
University of Antioquia  
paulina.arregocesg@udea.edu.co