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Poyen's Fuzzy Logic Controlled Automatic Irrigation (FCAI): Precision Irrigation Scheduling Scheme

Poyen, Faruk Bin ; Hazra, Sayan ; Sengupta, Nabarun ; Banerjee, Snehashish

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1 [Periódico revisado por pares]

New York: IEEE

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  • Título:
    Poyen's Fuzzy Logic Controlled Automatic Irrigation (FCAI): Precision Irrigation Scheduling Scheme
  • Autor: Poyen, Faruk Bin ; Hazra, Sayan ; Sengupta, Nabarun ; Banerjee, Snehashish
  • Assuntos: Automation ; Crop yield ; Data processing ; Evapotranspiration ; Farming ; Fuzzy control ; Fuzzy logic ; Information processing ; Irrigation ; Irrigation efficiency ; Irrigation Scheduling ; Lookup tables ; Modules ; Process control ; Prototype design ; Water Management ; Wireless communication ; Wireless sensor networks
  • É parte de: IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1
  • Descrição: Water wastage is a grave problem in irrigation due to outdated methods. This work illustrates how a well-structured Fuzzy rule base can eliminate the issue and utilize water at an optimized level. The Poyen's Fuzzy Logic Controlled Automatic Irrigation (Poyen's FCAI) efficiently manages the water requirement needs in irrigation processes taking into account the evapotranspiration (ET) loss and cultivating conditions. The Poyen's FCAI essentially comprises two modules, the Wireless Sensor Network and Information Processing module to perform the assigned task effectively and efficiently. The Wireless Sensor Unit (WSU) accumulates the necessary data, determines the ET loss and runs the decision logic before conveying it to the execution unit, i.e. the Wireless Information Processing Unit (WIPU). The WIPU executes the decision by manipulating the water delivery system, ensuring that the field receives the optimum volume of water. The article illustrates the fuzzy model with simulation output. The model is field-tested with and without the control action over two seasons and in adjacent plots. The results show promising improvements in both water management and crop yield due to more accurate conditions. Hence we obtain a superior automatic irrigation prototype model for all soil types, across different growth stages and for all crops with an exhaustive lookup table in place.
  • Editor: New York: IEEE
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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