Abstract

The foremost purpose of this study is to use wireless sensor network (WSN) technology to build an intelligent fish-vegetable coexistence system. As a traditional fish-vegetable coexistence system lacks intelligent diagnoses, personnel and the original materials are difficult to control, and efficiency is low. We expect to remotely monitor the environmental values of the fish-vegetable coexistence system at any time through Internet of Things technology and to control the feeding time and the brightness of LED lamps. The key concept of this system is to “let the fishes be farmers”, meaning that when the system is balanced, the nutrient supply and water purification can form a good circulation system as long as fish feed is provided and the evaporated moisture is supplemented in a timely manner. The main control board of the system is an Arduino Mega 2560, and the ZigBee communication protocol is used as a wireless transmission tool, which is combined with a temperature humidity sensor and an illuminance sensor. Thus, the performance of the traditional temperature humidity sensor is improved, and the fish yield is increased. Real-time monitoring can minimize the loss of fish. This expert system increases the success rate of culturing and planting, and the overall system efficiency is increased. Our team creates a human-computer interaction interface using the C# programming language. This interface can be used to monitor the current sensing values and store the data in an Excel data sheet, thus allowing users to query and analyze previously detected data. Users can monitor the system operation status and control the load through the designed human-machine interface to achieve smart network remote monitoring.

Highlights

  • The world is confronted with problems such as environmental deterioration, continuously decreasing natural resources, and food shortages resulting from population growth as tillable fields decrease in size every year due to urbanization and industrialization

  • According to a crop prospect and food situation report published by the Food and Agriculture Organization (FAO) of the United Nations in 2002, global population is increasing rapidly and is estimated to exceed 9 billion by 2050

  • We offer a framework for the wireless sensor network, and the integrated system is an intelligent control system

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Summary

Introduction

The world is confronted with problems such as environmental deterioration, continuously decreasing natural resources, and food shortages resulting from population growth as tillable fields decrease in size every year due to urbanization and industrialization. The demand for food will increase by 1.2-1.4% annually over the 40 years [1]. Our limited global resources must feed all people and satisfy human living standards; humans have to maximize the development of natural. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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