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Implementation of real-time fuzzy logic control for NFT-based hydroponic system on Internet of Things environment
Yolanda D.a, Hindersah H.a, Hadiatna F.a, Triawan M.A.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016 IEEE.Nutrient Film Technique (NFT) is one of the methods of hydroponic system which use a circulated water containing nutrient as a growing media of plant. The important parameter in NFT that affect the plant growth are electrical conductivity (EC) and pH that should be maintain in prescribed range that depend on plant types. In this study, we implement the fuzzy logic to control the EC and pH condition of the NFT-based hydroponic system in Internet of Things (IoT) system environment. By using IoT consist of wireless sensor network, data logger, machine-to-machine and actuator (pump), we can remotely controlling and monitoring all parameters through internet network, that can be applied to scattered area. The experiment based on proportional small scale process which consist of four controlled tanks (nutrient A, nutrient B, acid solution, and alkaline solution) and one mixing tank with adjustable flow pump by using 12 rules fuzzy logic. Parameter EC and pH are maintained in range defined according to the input range given. The required time to recover the EC and pH from outside range to within the defined range is about 15 minutes.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Alkaline solutions,Electrical conductivity,Fuzzy logic control,Internet of Things (IOT),Machine to machines,Nutrient film techniques,Remotely controlling,Small-scale process[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]EC,Fuzzy Logic,Internet of Things,NFT,pH[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/FIT.2016.7857556[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]