Vol. 11, Issue 5, Part B (2025)

Abstract
Agricultural production has been the basis of international development for decades. To meet this demand, producers will need irrigation water; However, as the population grows and demand increases, farmers will need strategies to change their work practices. Emerging technologies to continue and support expansion have given rise to the concept of "Agriculture 4.0". With the introduction of artificial intelligence and the Internet of Things, collecting and evaluating data sets has become easier. This design supports a smart, flexible irrigation method that canbe used in various situations, using less energy and less money. Machine learning techniques are at the heart of this approach to sustainable agriculture. For all this, we use different sensors (soil moisture, temperature and water content) in the growing environment for several weeks. The sensor system uses a series of Raspberry Pi which allows it to detect changes in soil moisture. Algorithms based on deep learning are used to calculate the results. This technology can also help reduce water losses due to misinformation in the coming years.