Artificial Intelligence (AI) is transforming agriculture, integrating into efficientirrigation systems and offering solutions for optimizing water usage, forecasting its demand,monitoring irrigation systems, analyzing plant data, and managing fertilizers. AI technologiesanalyze a multitude of variables such as soil condition, climatic conditions, and plant characteristicsto optimize irrigation processes and facilitate the efficient distribution of resources. This direction isrelevant for improving crop yield and the quality of agricultural products, while minimizing costsand environmental impact.In this section, the development of a mathematical model for optimizing the drip irrigationprocess is described, taking into account the complex interactions between water, soil, plants, andclimatic conditions. The use of Navier-Stokes equations, which describe the motion of fluids, andnumerical methods, such as the finite element method, ensures the modeling and optimization of waterflow. The optimization process involves several steps: from system modeling and parameterdetermination to the application of optimization methods for finding optimal solutions. It is necessaryto emphasize the complexity of the irrigation optimization task and the importance of considering amultitude of variables, including practical aspects of drip irrigation, such as the placement ofdrippers and soil types.As a result of the research, an algorithm for solving the Navier-Stokes equation was developedin combination with additional equations that take into account the behavior of droplets (for example,equations of droplet motion in a velocity field). This model allows describing the distribution ofdroplets in space and time, their interaction with the environment and other droplets, as well as theoverall behavior of the liquid during irrigation.Issues related to the development of a mathematical model and an artificial intelligencealgorithm for drip irrigation systems have been studied. The Navier-Stokes equation was used as amathematical model for simulating processes in the irrigation system. Keywords. Artificialintelligence, drip irrigation, Navier-Stokes equation, mathematical model, Python programming,control algorithm.
| Mualliflar | Turgunov, Adilbek |
|---|---|
| Jurnal | Инновацион технологиялар |
| Nashr sanasi | 2024-12-24 |
| Jild | 53 |
| Son | 01 |
| Til | Ingliz |
Artificial Intelligence, Drip Irrigation, Navier-Stokes Equation, Mathematical Model, Python Programming, Control Algorithm, Sun'iy intellekt, tomchilatib sug‘orish, Nav'e-Stoks tenglamasi, matematik model, Python tilida dasturlash, boshqaruv algoritmi, искуственный интеллект, капельное орошение, уравнение НавьеСтока, математическая модель, программирование на языке Python, алгоритм, управление
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