Agro ilm Volume 120 Issue 9 (2025) · pp. 156-157
BOG‘DORCHILIKDA ZAMONAVIY SUG‘ORISH TIZIMLARINI BOSHQARISHNING ALGORITMIK VA DASTURIY TA’MINOTINI TAKOMILLASHTIRISH
Pirimov, Odil Jo‘rayevich, Nasriddinov, Azizbek G‘ofir o‘g‘li, Pirimov, Odil Jo‘rayevich, Nasriddinov, Azizbek G‘ofir o‘g‘li, Pirimov, Odil Jo‘rayevich, Nasriddinov, Azizbek G‘ofir o‘g‘li
Abstract
This article explores the development of algorithmic and software support for smart irrigation systems aimed at efficient use of water resources in horticulture. A comparative analysis of traditional and modern irrigation methods is presented. The main focus is on calculating evapotranspiration using the Penman–Monteith method and predicting soil moisture through Machine Learning (ML) algorithms, particularly the Random Forest method. The article includes Python code fragments that illustrate the system’s operational logic.
Aqlli qishloq xo‘jaligiIoTevapotranspiratsiyamashinali o‘qitishRandom Forestmikrokontrollerlarsuvni tejashумное сельское хозяйствоIoTэвтранспирация
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