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An intelligent monitoring of greenhouse using wireless sensor networks

  • Touhami, Achouak (Laboratory of Energetic in arid zones, Department of Electrical Engineering, Faculty of Technology, Tahri Mohammed University) ;
  • Benahmed, Khelifa (Department of mathematics and computer science, Faculty of Exact Sciences, Tahri Mohammed University) ;
  • Parra, Lorena (Instituto de Investigacion para la Gestion Integrada de Zonas Costeras (IGIC), Universidad Politecnica de Valencia) ;
  • Bounaama, Fateh (Laboratory of Energetic in arid zones, Department of Electrical Engineering, Faculty of Technology, Tahri Mohammed University) ;
  • Lloret, Jaime (Instituto de Investigacion para la Gestion Integrada de Zonas Costeras (IGIC), Universidad Politecnica de Valencia)
  • Received : 2019.11.03
  • Accepted : 2020.04.30
  • Published : 2020.07.25
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Abstract

Over recent years, the interest for vegetables and fruits in all seasons and places has much increased, from where diverse countries have directed to the commercial production in greenhouse. In this article, we propose an algorithm based on wireless sensor network technologies that monitor the microclimate inside a greenhouse and linear equations model for optimization plant production and material cost. Moreover, we also suggest a novel design of an intelligent greenhouse. We validate our algorithms with simulations on a benchmark based on experimental data made at lNRA of Montfavet in France. Finally, we calculate the statistical estimators RMSE, TSSE, MAPE, EF and R2. The results obtained are promising, which shows the efficiency of our proposed system.

Keywords

Acknowledgement

We would like to give special thanks to our colleagues Pr. Draoui Belkacem and Dr. Bourouis Amina from Tahri Mohamed University - Bechar, Algeria, for their helps and advices. Also, we would like to thank the team of ENERAGARID laboratory from Tahri Mohamed University - Bechar, Algeria. Last but not least, we would like to thank the anonymous reviewers for their valuable suggestions to improve the content and quality of our paper. This work has been partially supported by European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by the Conselleria de Educación, Cultura y Deporte with the Subvenciones para la contratación de personal investigador en fase postdoctoral, grant number APOSTD/2019/04

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