The Aquaponic Ecosystem Using IoT and IA Solutions
Аквапоническая экосистема с использованием решений IoT и ИИ
2021-09-03
SCID: 54.1/mfc69ds5
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Aquaculture monitoringAquaponic systemHydroponic cultivationIoT (Internet of Things)Phytotron system
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Abstract (AI)
For solving the negative impact of the human evolution in earth, water, pollution and quality of feed. A system of aquaponic is proposed to manage gardening and recover up to 90% of water used for plants. Aquaponic is a system that combines two names: aquaculture which is the farming of fish and hydroponic which is the cultivation of plants (off-soil). On the other hand, the possibility of using the phytotron system. The objective of this solution is to collect performance measures, to control the watering conditions of plants (water level, temperature, humidity, ...) With a cloud support and other possibilities offered by the internet of things (IoT). The paper at hand aim to provide a smart solution integrates the phytotron solution in order to control the first part wish is the hydroponic and the second part concerning the aquaculture in order to offer a smart environment for the cycle of fish’s life.
Key Findings
1
An aquaponic system is proposed that combines aquaculture and hydroponics to manage gardening and fish life cycles.
2
The integrated smart environment aims to control both hydroponic and aquaculture components to support fish lifecycle and plant cultivation.
3
The proposed system can recover up to 90% of the water used for plants.
4
The solution integrates a phytotron-based control to regulate plant watering conditions (water level, temperature, humidity).
5
The system uses cloud support and IoT capabilities to collect performance measurements and enable remote control and monitoring.
Research Object
Aquaponic ecosystem integrating hydroponics and aquaculture with IoT and phytotron-based control
Research Subject
Monitoring and control of plant watering conditions and aquaculture environment (water level, temperature, humidity, and related performance measures) using cloud-supported IoT and AI solutions to optimize water recovery and fish–plant cycle
Publication Details
Publication Date
2021-09-03
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