Roses greenhouse cultivation database repository (RosesGreenhDB)

- Citation Author(s):
-
Wilmer ChamputizPaúl Rosero-MontalvoEdison FuentesDiego Peluffo
- Submitted by:
- Wilmer Champutiz
- Last updated:
- DOI:
- 10.21227/89qy-zh32
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- Keywords:
Abstract
The present dataset contains information about roses cultivation in greenhouses.
It is aimed at identifying corrective actions to improve the roses state.
Correspondingly, the target variables (labels) are as follows:
1 soil without water
2 environment correct
3 too much hot
4 very cold
Data acquisition was done with an autonomous robot incorporating sensors such as: soil humidity, light, temperature and humidity, and CO2.
Resulting dataset is imblanced.
Instructions:
1. Title: Roses greenhouse cultivation database repository (RosesGreenhDB)
Updated 17/07/2019 by Wilmer A. Champutiz
2. Sources:
(a) Creators: Edison A. Fuentes-Hernández and Paul D. Rosero-Montalvo
(b) Date: July 2019
3. Relevant Information:
The present dataset contains information about roses cultivation in greenhouses.
It is aimed at identying corrective actions to improve the roses state.
Correspondingly, the target variables (labels) are as follows:
1 Soil without water
2 Environment correct
3 Too much hot
4 very cold
Data acquisition was done with an autonomous robot incorporating sensors such as: soil humidity, light, temperature and humidity, and CO2. Resulting dataset is imblanced.
4. Number of Instances: 300 (125 soil without water
28 correct environment
90 too much hot
57 very cold)
5. Number of Attributes: 5 numeric predictive attributes and the class
6. Attribute Information:
1. Soil humidity in analog-digital conversion
2. Light in lux
3. Temperature in °C
4. CO2 in analog-digital conversion
5. Humidity relative
6. Class:
1 soil without water
2 environment correct
3 too much hot
4 very cold
7. Missing Attribute Values: None