Abstract
As the world population is increasing rapidly, food and water demands are the most crucial problem for humanity. In some areas of the world, water or environment is unsuitable for plant growth; hydroponic systems can provide a suitable environment for crop production with effective management of natural resources. Internet of Things paradigm based automated systems has been creating an excellent opportunity for monitoring and controlling agriculture by minimizing the cost and maximizing the profit significantly over the past decade. The reduction of the cost can be achieved by sufficient usage of resources and setting up optimum operational parameters for agricultural devices. This paper presents an optimization scheme with novel objective function for hydroponics environment parameters management with efficient energy consumption. The proposed approach provides optimal energy and resource utilization in the hydroponics system with setting up a working level and operational duration to the actuators. We have developed an optimization scheme with objective function for optimal humidity and water level control based on fuzzy logic, which can support the optimal measurement for crop growth with energy efficiency. Fuzzy logic control is applied for the compromise between actuators working level and operational duration. A real hydroponics environment has been implemented and presented to evaluate the effectiveness of the proposed approach. It can be assessed through the simulation results that the optimization module achieves a signification reduction (18%) in energy consumption as compared to the other scheme.
Highlights
Statistics show that the current population of the world is predicted to reach 8.5 billion by 2030 and 11.2 billion in 2100 years [1]
We have proposed an optimization scheme based on the fuzzy logic control module for the hydroponics system in the Internet of Things (IoT) environment
To maintain better management in both resources and energy, we proposed the automated water and humidity level control system with efficient energy consumption for hydroponics environment based on optimization and fuzzy logic control
Summary
Statistics show that the current population of the world is predicted to reach 8.5 billion by 2030 and 11.2 billion in 2100 years [1]. As the demand for food and water increases in terms of quantity and quality, the requirement for industrializing agricultural practices has increased. IoT is becoming more and more pervasive in our daily life Various devices such as sensors, Raspberry Pi and microcontrollers are interconnect with each other and provide smart services to users [9]. We have proposed an optimization scheme based on the fuzzy logic control module for the hydroponics system in the IoT environment. Our proposed approach can provide optimal water and humidity level according to the user/farmer desired settings for effective plant productivity with efficient energy consumption. The proposed optimization and fuzzy logic based smart hydroponics environment are designed and implemented successfully as an experimental environment.
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