Mobile and Manual Dataset for Greenhouse Tomato Crop SummaryThis 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. LocationThe 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. ContentsThe 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. LicenseCreative Commons Attribution 4.0 International (CC BY 4.0) ProjectThis 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 UseThe dataset supports analysis of treatment effects, yield prediction modeling, and development of decision support systems for smart agriculture. ContactFor more information about dataset usage:Paulina Arregocés-Guerra PAI Project University of Antioquia paulina.arregocesg@udea.edu.co