Tatas, KonstantinosKonstantinosTatasAl-Zoubi, AhmadAhmadAl-ZoubiChristofides, NicholasNicholasChristofidesZannettis, ChrysostomosChrysostomosZannettisChrysostomou, MichaelMichaelChrysostomouPanteli, StavrosStavrosPanteliAntoniou, AnthonyAnthonyAntoniou2022-02-142022-02-142022-02-02Technologies 10 (1): 26 (2022)http://hdl.handle.net/11420/11695This paper presents the design and implementation of iPONICS: an intelligent, low-cost IoT-based control and monitoring system for hydroponics greenhouses. The system is based on three types of sensor nodes. The main (master) node is responsible for controlling the pump, monitoring the quality of the water in the greenhouse and aggregating and transmitting the data from the slave nodes. Environment sensing slave nodes monitor the ambient conditions in the greenhouse and transmit the data to the main node. Security nodes monitor activity (movement in the area). The system monitors water quality and greenhouse temperature and humidity, ensuring that crops grow under optimal conditions according to hydroponics guidelines. Remote monitoring for the greenhouse keepers is facilitated by monitoring these parameters via connecting to a website. An innovative fuzzy inference engine determines the plant irrigation duration. The system is optimized for low power consumption in order to facilitate off-grid operation. Preliminary reliability analysis indicates that the system can tolerate various transient faults without requiring intervention.This paper presents the design and implementation of iPONICS: an intelligent, low-cost IoT-based control and monitoring system for hydroponics greenhouses. The system is based on three types of sensor nodes. The main (master) node is responsible for controlling the pump, monitoring the quality of the water in the greenhouse and aggregating and transmitting the data from the slave nodes. Environment sensing slave nodes monitor the ambient conditions in the greenhouse and transmit the data to the main node. Security nodes monitor activity (movement in the area). The system monitors water quality and greenhouse temperature and humidity, ensuring that crops grow under optimal conditions according to hydroponics guidelines. Remote monitoring for the greenhouse keepers is facilitated by monitoring these parameters via connecting to a website. An innovative fuzzy inference engine determines the plant irrigation duration. The system is optimized for low power consumption in order to facilitate off-grid operation. Preliminary reliability analysis indicates that the system can tolerate various transient faults without requiring intervention.en2227-708020221Multidisciplinary Digital Publishing Institutehttps://creativecommons.org/licenses/by/4.0/IoTwireless sensor networkshydroponicssmart agricultureInformatikTechnikIngenieurwissenschaftenLandwirtschaft, VeterinärmedizinJournal Article2022-02-1110.15480/882.415410.3390/technologies1001002610.15480/882.4154Journal Article