As technology continues to advance, the agricultural industry has recognized the need to develop new methods to improve crop yield due to the significant influence of environmental factors on farming. Traditional irrigation methods have had significant drawbacks, such as calculation errors and low sensitivity from input sensors. To address these limitations, smart irrigation systems have been developed using sequential learning neural network algorithms and the Internet of Things (IoT). An intelligent irrigation system is a way to deal with all of the issues in a conventional approach. This...