Design of Intelligent ICT Irrigation System Using Crop Growth Big Data Analysis

Abstract

The existing irrigation system was a method of utilizing the irrigation system through input values based on user input. Therefore, it has been raised that the automation system of the existing system is difficult to be introduced into a farm environment with low technical capacity due to the difficulty of digitization of equipment and periodic input. Therefore, in this paper, a customized, intelligent irrigation system algorithm was designed using big data analysis based on the growth of cultivated crops. In addition, an irrigation system was designed according to temperature, humidity, pi**, light quantity, and water content of crops. Through this, the control monitoring based on the recurrent neural network (RNN) was applied by utilizing big data analysis. In this paper, we designed a solution that is easy to manage and easy to use for cultivation and growth by using a customized, intelligent watering system and various ICT sensors. In addition, through post-management, the system was designed to provide easy usability to users with low technological acceptance by changing S/W and major control devices according to changes in cultivated crops. Designed and proposed in the paper, the customized and intelligent watering system can be used to provide uncomplicated usage using initial modeling for crops. In addition, due to the user-customized intelligent irrigation system, it is possible to maintain the facility through simple monitoring through a system that continuously self-feedback and decision-making even with a simple setup at the initial step of installation.