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      Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar

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          Abstract

          Growing plants in the gulf region can be challenging as it is mostly desert, and the climate is dry. A few species of plants have the capability to grow in such a climate. However, those plants are not suitable as a food source. The aim of this work is to design and construct an indoor automatic vertical hydroponic system that does not depend on the outside climate. The designed system is capable to grow common type of crops that can be used as a food source inside homes without the need of large space. The design of the system was made after studying different types of vertical hydroponic systems in terms of price, power consumption and suitability to be built as an indoor automated system. A microcontroller was working as a brain of the system, which communicates with different types of sensors to control all the system parameters and to minimize the human intervention. An open internet of things (IoT) platform was used to store and display the system parameters and graphical interface for remote access. The designed system is capable of maintaining healthy growing parameters for the plants with minimal input from the user. The functionality of the overall system was confirmed by evaluating the response from individual system components and monitoring them in the IoT platform. The system was consuming 120.59 and 230.59 kWh respectively without and with air conditioning control during peak summer, which is equivalent to the system running cost of 13.26 and 25.36 Qatari Riyal (QAR) respectively. This system was circulating around 104 k gallons of nutrient solution monthly however, only 8–10 L water was consumed by the system. This system offers real-time notifications to alert the hydroponic system user when the conditions are not favorable. So, the user can monitor several parameters without using laboratory instruments, which will allow to control the entire system remotely. Moreover, the system also provides a wide range of information, which could be essential for plant researchers and provides a greater understanding of how the key parameters of hydroponic system correlate with plant growth. The proposed platform can be used both for quantitatively optimizing the setup of the indoor farming and for automating some of the most labor-intensive maintenance activities. Moreover, such a monitoring system can also potentially be used for high-level decision making, once enough data will be collected. This work presents significant opportunities for the people who live in the gulf region to produce food as per their requirements.

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          Beneficial bacteria and fungi in hydroponic systems: Types and characteristics of hydroponic food production methods

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            Modern plant cultivation technologies in agriculture under controlled environment: a review on aeroponics

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              IoT based hydroponics system using Deep Neural Networks

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                02 October 2020
                October 2020
                : 20
                : 19
                Affiliations
                [1 ]Department of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar; amitk@ 123456qu.edu.qa (A.K.); sa1401765@ 123456student.qu.edu.qa (S.A.); fa1203644@ 123456student.qu.edu.qa (F.A.-K.); jh1401965@ 123456student.qu.edu.qa (J.H.); alshafei@ 123456qu.edu.qa (A.A.S.); alemadin@ 123456qu.edu.qa (N.A.-E.)
                [2 ]Centre of Advanced Electronic and Communication Engineering, University Kebangsaan Malaysia, Bangi, Selangor 43600, Malaysia; fahmida32@ 123456yahoo.com (F.H.); mamun.reaz@ 123456gmail.com (M.B.I.R.)
                Author notes
                [* ]Correspondence: mchowdhury@ 123456qu.edu.qa ; Tel.: +974-4403-7382
                Article
                sensors-20-05637
                10.3390/s20195637
                7582991
                33023097
                e46cf442-b21a-44ac-b8ec-7f071a220e7c
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Biomedical engineering
                vertical hydroponics,indoor farming,automated system,internet of things (iot),test-bed

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