Smart Irrigation Integrate To IOT Technology Based On Deep Learning’s Algorithm LSTM

Abstract

Agriculture is very important to human life. Indeed, it is the axis of energy for them, but any imbalance can threaten the food system. The progress of agriculture is essentially dependent on the irrigation which can be in two forms; either by rain or by human irrigation, but the problem is that rain does not have an organized schedule; its presence is random. We cannot count on it constantly because of its random frequency, but we can instead, predict when it rains approximately within an uncertain time, duration or quantity. For this, we have invented an intelligent system capable of predicting when it rains after a communication of the sensors with clouds in order to optimize the use of irrigation, and to have coherence in case of rain absence, we go to irrigation in an automatic way. This irrigation is controlled according to parameters depending on the humidity of the soil, the phase of planting, and the annual season thanks to IOT technologies integrated with sensors and drone.