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РецензированоUZ2024

ANFIS YORDAMIDA EKINLARNI AVTOMATIK SUG‘ORISH TIZIMLARI: KONSEPTUAL YONDASHUV VA AMALIYOT

UZBEKISTAN” JURNALI · Yuldashov Ollabergan Ergash o‘g‘li

Журнал научно-инновационных исследований в Узбекистане · 2 · 2024

Аннотация

The irrigation process plays a crucial role in modern agriculture, as efficient water management helps ensure the growth and productivity of crops. This paper presents the development of an automatic irrigation system for crops using ANFIS (Adaptive Neuro-Fuzzy Inference System). The system manages the irrigation schedule of crops considering both temperature and humidity. Using fuzzy logic and linear regression methods, water consumption is predicted at different levels of temperature and humidity. The paper analyzes the working principle of the system, the methodologies used, and the project developed using the Python programming language. Keywords. ANFIS, fuzzy logic, neural network, linear regression, automatic irrigation system.

Доказательный фрагмент

«The irrigation process plays a crucial role in modern agriculture, as efficient water management helps ensure the growth and productivity of crops.»

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Демо-превью

The irrigation process plays a crucial role in modern agriculture, as efficient water management helps ensure the growth and productivity of crops. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
Журнал
Страна
Узбекистан
Ключевые слова
ANFIS, fuzzy logic, neural network, linear regression, automatic, fuzzy, chiziqli regressiya, neyron tarmoq, avtomatik sug‘orish tizimi.
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