Integrating IoT and AI for Adaptive Irrigation in Precision Agriculture

Abstract

Precision agriculture has changed modern farming a lot by making it more sustainable, productive, and good at managing resources. Using the Internet of Things (IoT) and Artificial Intelligence (AI) together in adaptable watering systems is a new way to make the best use of water and make sure crops grow well. IoT monitors give real-time information about the weather, temperature, humidity, and soil wetness, which makes it possible to precisely track when watering is needed. AI programs look at these data sources to figure out the best times and amounts of watering based on how the environment is changing. Because the system is flexible, it can respond instantly to changes in weather trends, soil conditions, and food growth stages. This saves water and encourages people to do the same. This essay looks at how IoT and AI can be used together to create an adaptable irrigation system that can be adjusted to the needs of different crops. This would allow for more precise watering while having the least possible effect on the environment. Machine learning is used by the system to learn from previous watering rounds. This helps it make better guesses and work better over time. The combination of cloud computing and big data analytics also makes solutions flexible, giving farmer’s useful information they can use to make decisions. The suggested system makes better use of resources, lowers costs, and encourages farming methods that are good for the environment. This technology not only increases food growth, but it also solves the problem of not having enough water for farming around the world.