Abstract
The cultivation under cover of fruits, vegetables, and floral species has developed from the traditional greenhouse to the agro-industrial greenhouse which is currently known for its modernity and its high level of automation (heating, misting system, air conditioning, control, regulation and command, supervision computer, etc.). New techniques have emerged, including the use of devices to control and regulate climatic variables in the greenhouse (temperature, humidity, CO2 concentration, etc.). In addition, the use of artificial intelligence (AI) such as neural networks and/or fuzzy logic. Currently, the climate computer offers multiple services and makes it possible to solve problems relating to regulation, control, and commands. The main motivation in choosing an order by AI is to improve the performance of internal climate management, to move towards a control-command strategy to achieve a homogeneous calculation structure through a mathematical model of the process to be controlled, usable on the one hand for the synthesis of the controller and on the other hand by the simulation of the performances of the system. It is from this state, that begins this research work in this area include modelization an intelligent controller by the use of fuzzy logic.
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Abbreviations
- AI:
-
Artificial Intelligence
- ANN:
-
Artificial Neural Networks
- CO2:
-
Carbon Dioxide
- EAs:
-
Evolution Algorithms
- FAO-UN:
-
Food and Agriculture Organization of the United Nations
- FL:
-
Fuzzy Logic
- GA:
-
Genetic Algorithms
- H:
-
Humidity
- IT:
-
Information Technology
- LP:
-
Linear Programming
- MIMO:
-
Multi-Input Multi-Output
- NIAR:
-
National Institute for Agronomic Research
- PDF:
-
Pseudo-Derivative Feedback
- PE:
-
Polyethylene
- PID:
-
Integral Controllers – Derivatives
- PIP:
-
Proportional-Integral-Plus
- PVC:
-
Polyvinyl Chloride
- SISO:
-
Single-Input, Single-Output
- T:
-
Temperature
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Hadidi, A., Saba, D., Sahli, Y. (2021). The Role of Artificial Neuron Networks in Intelligent Agriculture (Case Study: Greenhouse). In: Hassanien, A., Bhatnagar, R., Darwish, A. (eds) Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications. Studies in Computational Intelligence, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-51920-9_4
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