Research on Integrated Management System of Water and Fertilizer Based on Internet of Things

L Zeng, H Lin, T Li, D Zhou, J Yao, Z Yan… - IoT as a Service: 5th EAI …, 2020 - Springer
L Zeng, H Lin, T Li, D Zhou, J Yao, Z Yan, Q Wang
IoT as a Service: 5th EAI International Conference, IoTaaS 2019, Xi'an, China …, 2020Springer
This paper designs and implements a management system of agricultural water and fertilizer
integration based on Internet of Things (IOT). The design of the management system, which
solves the problems of energy consumption, accuracy, stability and expansibility, is mainly
composed of modules with monitoring management, water and fertilizer control, data
management and remote control, while realizing greening, intellectualization, networking
and digitization. The system takes SK-S7G2 microcontroller as the core to build a …
Abstract
This paper designs and implements a management system of agricultural water and fertilizer integration based on Internet of Things (IOT). The design of the management system, which solves the problems of energy consumption, accuracy, stability and expansibility, is mainly composed of modules with monitoring management, water and fertilizer control, data management and remote control, while realizing greening, intellectualization, networking and digitization. The system takes SK-S7G2 microcontroller as the core to build a bidirectional data channel between the client and temperature sensor, humidity sensor and light intensity sensor by using 4-G wireless network and Ethernet communication modes. Then, the sensor parameters are sent to the client and the control instructions of the client are received to realize the remote real-time control of the motor, fan and other equipment. the production environment data collected by SK-S7G2 are transferred into the database of cloud server to construct an agricultural database of real parameters of crop growth environment. Finally, the feasibility and validity of the management system have been verified by the real environmental test, which proves that the design of the management system proposed in this paper is an effective solution of the intelligent agricultural water and fertilizer irrigation system with the characteristics of energy saving, high efficiency, accuracy and scalability.
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