Making all types of greenhouses smart using Internet of Things technology and data mining algorithms
الباحث الأول:
حامد هاني عزيز
المجلة:
ايران
تاريخ النشر:
None
مختصر البحث:
Today, with the increase in population, the need of human societies for agricultural products is quite tangible. So that the use of traditional methods in agriculture and greenhouse production no longer meets the needs of human societies. On the oth…
Today, with the increase in population, the need of human societies for agricultural products is quite tangible. So that the use of traditional methods in agriculture and greenhouse production no longer meets the needs of human societies. On the other hand, saving energy consumption and reducing production costs are always considered. Internet of Things technology for connecting various sensors in the agricultural environment and exchanging their data with processing centers, to convert greenhouse management methods from traditional methods to intelligent methods based on decision-making centers in cloud systems, are of interest today. In this research, a general model for greenhouse management based on the Internet of Things is presented. In this model, a multilayer perceptron neural network is used to estimate the temperature and relative humidity inside the greenhouse based on the temperature and relative humidity and wind speed outside. The average absolute error MAPE, root mean square error RMSE, and R2 coefficient of determination were used for evaluation. Considering the low error values for the presented models, it can be concluded that the use of a neural network is suitable for predicting the temperature and relative humidity inside the greenhouse.
