Automation of agricultural irrigation using IoT and cloud computing

Water is necessary for all living things, including plants, animals, and people. Even though there is much water on the planet, only 1% is helpful and fresh. A more common source of fresh water is a crucial and priceless resource as the population and water consumption have increased. 70% or more of the world’s pure fresh water is used for agriculture. The least valuable, least effective, and most heavily subsidized group of people who labor in agriculture also use the most water globally. Technology, such as intelligent irrigation devices, must be used to increase agricultural irrigation productivity and use more water. This kind of system can be highly accurate, but it needs knowledge of the local weather and soil conditions. This research investigates an intelligent Internet of Things and a cloud-based irrigation system (IoT). Before processing the cloud data with various machine learning methods, this system aims to detect soil moisture and humidity. Regarding water content regulations, farmers are given accurate information. Using intelligent irrigation, farming may utilize less water.