IOP Conference Series Materials Science and Engineering · 2021 · 34 citations · 5 references
Precision AgricultureEngineeringMinimum Nodemcu SystemIot CommunicationAgricultural EconomicsIot ProtocolSoftware EngineeringIot SystemAgricultural CyberneticsIrrigation ManagementAgricultural Water ManagementSmart SystemsSustainable AgricultureRapid Application DevelopmentSystems EngineeringInternet Of ThingsPublic HealthSmart AgricultureComputer EngineeringIrrigationAgricultureAgricultural Irrigation SystemAgricultural EngineeringWater ResourcesSoil Moisture SensorEdge ComputingRad SystemTechnologyModel Method
Abstract The development of the internet of things has penetrated in several lines, including in agriculture. To respond to the development of this IoT requires rapid technological adaptation as well. To build a system quickly, one can utilize the Rapid Application Development (RAD) method. RAD is a model that allows non-experts to benefit from high-performance computing, while allowing expert programmers to take full advantage of the underlying hardware. This enables rapid prototyping, retargeting, and reuse of existing software, while allowing hardware-specific optimization if needed. The RAD system emphasizes the fast development cycle that is designed and high-quality results from other methods such as waterfall, agile, scrum and others. The system was built using the minimum NodeMCU system with the help of a soil moisture sensor. The use of the RAD method in building an IoT-based agricultural irrigation system gives good results in testing all functions and equipment controls. The average delay level on testing IoT devices is around 4.6 seconds so that the RAD method can be used as a reference in the construction of an IoT-based system.
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A full stack for quick prototyping of IoT solutions
Daniele Mazzei, Giacomo Baldi, Gabriele Montelisciani et al. · Annals of Telecommunications · 2018 · 20 citations · Full text