Integrating Artificial Intelligence into an Automated Irrigation System

Climate change in Eastern Europe requires introducing automated irrigation systems and monitoring agricultural and climatic parameters to ensure food security. The automation of irrigation, together with the generation of climate reports based on AI (artificial intelligence) using OpenAI models for...

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Main Authors: Nicoleta Cristina Gaitan, Bianca Ioana Batinas, Calin Ursu, Filaret Niculai Crainiciuc
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/4/1199
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author Nicoleta Cristina Gaitan
Bianca Ioana Batinas
Calin Ursu
Filaret Niculai Crainiciuc
author_facet Nicoleta Cristina Gaitan
Bianca Ioana Batinas
Calin Ursu
Filaret Niculai Crainiciuc
author_sort Nicoleta Cristina Gaitan
collection DOAJ
description Climate change in Eastern Europe requires introducing automated irrigation systems and monitoring agricultural and climatic parameters to ensure food security. The automation of irrigation, together with the generation of climate reports based on AI (artificial intelligence) using OpenAI models for Internet of Things (IoT) data processing, contributes to the optimization of resources by reducing excessive water and energy consumption, supporting plant health through proper irrigation and increasing sustainable agricultural productivity by providing suggestions and statistics to streamline the agricultural process. In this paper, the authors present a system that allows continuous data collection of parameters such as temperature, humidity, and soil moisture, providing detailed information and advanced analytics for each device and area monitored using AI to generate predictive recommendations. The data transmission is performed wirelessly via WebSocket to the central database. This system uses data from all devices connected to the application to assess current climate conditions at a national level, identifying trends and generating reports that aid in adapting to extreme events. The integration of artificial intelligence in the context of monitoring and irrigation of agricultural areas is a step forward in the development of sustainable agriculture and for the adaptation of agriculture to increasingly aggressive climate phenomena, providing a replicable framework for vulnerable regions.
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spelling doaj-art-ef6d17615c7b450db5fa0c4fe0da88832025-08-20T02:03:30ZengMDPI AGSensors1424-82202025-02-01254119910.3390/s25041199Integrating Artificial Intelligence into an Automated Irrigation SystemNicoleta Cristina Gaitan0Bianca Ioana Batinas1Calin Ursu2Filaret Niculai Crainiciuc3Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaFaculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaFaculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaFaculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, RomaniaClimate change in Eastern Europe requires introducing automated irrigation systems and monitoring agricultural and climatic parameters to ensure food security. The automation of irrigation, together with the generation of climate reports based on AI (artificial intelligence) using OpenAI models for Internet of Things (IoT) data processing, contributes to the optimization of resources by reducing excessive water and energy consumption, supporting plant health through proper irrigation and increasing sustainable agricultural productivity by providing suggestions and statistics to streamline the agricultural process. In this paper, the authors present a system that allows continuous data collection of parameters such as temperature, humidity, and soil moisture, providing detailed information and advanced analytics for each device and area monitored using AI to generate predictive recommendations. The data transmission is performed wirelessly via WebSocket to the central database. This system uses data from all devices connected to the application to assess current climate conditions at a national level, identifying trends and generating reports that aid in adapting to extreme events. The integration of artificial intelligence in the context of monitoring and irrigation of agricultural areas is a step forward in the development of sustainable agriculture and for the adaptation of agriculture to increasingly aggressive climate phenomena, providing a replicable framework for vulnerable regions.https://www.mdpi.com/1424-8220/25/4/1199sensorsartificial intelligenceirrigation systemdata analysis
spellingShingle Nicoleta Cristina Gaitan
Bianca Ioana Batinas
Calin Ursu
Filaret Niculai Crainiciuc
Integrating Artificial Intelligence into an Automated Irrigation System
Sensors
sensors
artificial intelligence
irrigation system
data analysis
title Integrating Artificial Intelligence into an Automated Irrigation System
title_full Integrating Artificial Intelligence into an Automated Irrigation System
title_fullStr Integrating Artificial Intelligence into an Automated Irrigation System
title_full_unstemmed Integrating Artificial Intelligence into an Automated Irrigation System
title_short Integrating Artificial Intelligence into an Automated Irrigation System
title_sort integrating artificial intelligence into an automated irrigation system
topic sensors
artificial intelligence
irrigation system
data analysis
url https://www.mdpi.com/1424-8220/25/4/1199
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AT filaretniculaicrainiciuc integratingartificialintelligenceintoanautomatedirrigationsystem