Smart Planting Using Internet of Things Technology

This paper examines smart farming techniques based on the Internet of Things concept to solve various problems caused by traditional agriculture such as high labor costs, improper water resource usage, and deficient control of the environment. To solve these problems, we present a model for the study of remote farming called "Smart Planting Model", which consists of sensing devices that detect humidity, temperature, water levels, and humidity in the soil. The board controller uses Arduino Uno R3, which is equipped with a set of digital and analog input/output. The remote monitoring system is available from the Amazon EC2 dashboard, which is under the service of AWS Cloud. Based on the empirical findings, we found that the developed model connected reliably to subsystems. Testing of the control system of watering, temperature and lighting can be performed automatically and accurately, as specified in the program. Control and monitoring systems can be connected and logged on from both PCs and mobile phones.