Roses greenhouse cultivation database repository (RosesGreenhDB)

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