Experimental climate dataset of an agricultural greenhouse prototype

Published: 13 January 2023| Version 2 | DOI: 10.17632/3dw54yhhcc.2
Mounir Guesbaya


Experimental climate dataset of a greenhouse in an arid semi-desert region (Biskra, Algeria). The greenhouse was empty (No crop effect on its microclimate). It includes 5 successive days of climate measurements involving a set of climate variables: 1. Date 2. Time 3. Tin1: Inside air temperature (upper part of the greenhouse) 4. Tin2: Inside air temperature (lower part of the greenhouse) 5. Tout: Outside air temperature 6. Hin1: Inside relative humidity 7. Hin2: Inside relative humidity 8. Hout: Outside relative humidity 9. Irr: Outside solar radiation 10. Wv: Outside Wind velocity 11. Rain: Rain detector for the alarm system (0 or 1) This dataset has been generated using a developed low-cost wireless data acquisition system (DAS) with low-cost sensors. The description of the constructed greenhouse and the developed low-cost DAS can be found in this paper [https://doi.org/10.1007/978-981-15-6403-1_4] The dataset is uploaded in 3 types of files (.xlsx, .mat, and .txt) for its ease of use.


Steps to reproduce

1. Description of the greenhouse prototype The experimental set-up has included the construction of a small-size gable-shaped (single span), wooden-structured greenhouse as a nursery prototype covered by polyethylene with 0.2mm of. It was implemented in the municipality of M’ziraa, Biskra, Algeria (34°43′19.7” N 6°17′39.2” E), which is characterized by its moderate desert climate in the winter season. The experimental nursery has a wooden soilless floor that embraces 3 seedling bunches (45x20 cm) full of treated soil. 2. Low-cost data acquisition system The data acquisition hardware system is based on Arduino Mega 2560 programmable board, which gathers measurements from all the sensors then send it to the PC, to be treated by a MATLAB code which created the database used in this study. The required sensors have been installed and connected to the I/O pins of Arduino Mega. These sensors are dedicated to obtain sufficient information about the instant state of the greenhouse internal and external climate. Two DHT22 are installed inside the greenhouse at a high of 0.3m and outdoor the greenhouse at a high of 1.25m to measure air temperature, where the accuracy of humidity is ±5%RH and temperature accuracy is <±0.5°C. Both DHT22 sensors are equipped with a low-cost design of a plate-shaped radiation shield [14]. A low-cost pyranometer based on BPW34 silicon photodiode with an accuracy of 2.3% error [15] is installed outdoor the greenhouse at a height of 1.4 m to measure the solar irradiation. Another low-cost element is the anemometer based on DC motor installed outside at a height of 1.55 m [16]. MH-RD Rain module is also used in order to be warned from heavy rain. The sensitiveness of each of the sensors are: - The temperature measurement sensitiveness is about 0.1 °C - The humidity measurement sensitiveness is about 0.1 % - The pyranometer measurement sensitiveness is about 9.6 w/m2 - The anemometer measurement sensitiveness is about 0.47 m/s 3. Experimental climate dataset The database has been successfully acquired. It consists of measurements of five successive days in the winter season ranging from the 26th to the 30th of January 2019, as it appears in Fig.5-6. The measuring step size is 1 sample/min, meaning that every day includes 1440 samples. The data of the 5 days have been divided into two parts; the data of 2nd and 3rd days has been used in the identification due to its climate diversification. This will ensure an effective selection of model parameter values and flexibility of the prediction process for various climate states (The 2nd day has a calm climate, whereas the 3rd day has a turbulent climate due to wind fluctuations and clouds), as for the data of the remaining 3 days are kept for the experimental validation (1st day as a calm day and 4th and 5th as turbulent days).


Universite Mohamed Khider de Biskra Departement de Genie Electrique


Climate Data, Greenhouse