The Guangdong Engineering Research Center for Internet of things in agriculture and aquaculture (hereinafter referred to as “Engineering Center”) is jointly led by the South China Agricultural University and the Guangdong Wen Group. There is a committee of experts in the Engineering Center. Professor Liu Caixing is the director of the center. There are four offices and four research rooms. Each room corresponds to a research direction. There are 5-10 researchers, according to the research topics organized into research groups, there are relatively stable research (sub) direction.
Through the construction of this project center, fully integrating the South China Agricultural University, agricultural electrification and automation, GIS, Animal Science, Agricultural Resources and environment, Agricultural Water and soil engineering, etc. , it mainly includes the following six aspects:
(1) the industrialization standard of Internet of things for agriculture
To study and formulate a number of industry standards for the industrial application of the Internet of things in agriculture. It focuses on the standard system of the Internet of things for field planting, the Internet of things for facility horticulture, the Internet of things for livestock and poultry breeding, the Internet of things for aquaculture, the Internet of Things for agricultural products and the modular standards for industrial chain.
(2) quick perception of agricultural information
It focuses on the research and development of agricultural sensors with independent intellectual property rights, as well as the wireless communication interface of some practical sensors, which can be integrated with other commercially available agricultural sensors according to the needs of the application environment. Thus it provides the sense equipment and some interface equipment for the information quick acquisition of the Agricultural Internet of things. The main types of information perceived by the Internet of things in agriculture are as follows: soil sensing sensors such as light, temperature, water, fertilizer and gas; and the content of harmful gases such as carbon dioxide, ammonia gas and sulfur dioxide in livestock and poultry industry, environmental sensing sensors for dust, foam and aerosol concentration, temperature and humidity in air; dissolved oxygen, PH, ammonia nitrogen, conductivity and turbidity sensors for aquaculture; High-quality image and video sensing equipment on the agricultural production site; agricultural property information sensing such as item name, model, characteristic, Price, etc. Agricultural geographical location information perception, such as the geographical location of items, etc. .
(3) Internet of Things Information Transmission in agriculture
Through the integration of various telecommunications networks (including broadband wireless networks, fibre-optic Networks, cellular networks and various private networks) with the Internet, combined with the complex context of specific agricultural production sites, research on how to transfer all kinds of sensor information to dedicated Internet server or cloud platform in real time and accurately. Research on agricultural sensor network topology, Agricultural Sensor Network Transmission Control Protocol, Agricultural Internet of Things Security Architecture and data security acquisition.
(4) agricultural information analysis and service
Agricultural Information Parsing and service is to classify, retrieve, analyze, process, store and trace the data collected to the central server. The main contents include: the application models of field planting, facility horticulture, livestock and poultry breeding and aquaculture, the research of Big Data Processing Model of Internet of things in agriculture and the research of food security traceability.
(5) supporting technologies for Internet of things in agriculture
In addition to the technologies of information perception, transmission and interpretation mentioned above, there are some common technologies that are important technical support for the implementation of Internet of things applications.
First, Information Security and trusted label technology. One of the key links in successful counterfeiting of a product is the counterfeiting of a label. In order to prevent products from being counterfeited by others, it is necessary to customize different identity labels for each product, and to achieve “one mark, one code, one secret” , which is the core of food security and traceability. Therefore, strong encryption algorithms for food safety models need to be developed and implemented efficiently on embedded system. The other is big data analysis. The application of Internet of things will produce a large amount of data, in order to fully use these data, we need multi-level data fusion, large-scale flow data mining for big data analysis. Through the analysis of Big Data, it will provide scientific basis for the early warning of agricultural production, make the early warning more timely, provide decision support for the strategy research of agricultural production safety, realize to let the data speak and predict the future from the past.
(6) the integration and demonstration of the Internet of things in agriculture
Mainly through the following core technology research and development and integration of equipment to promote the application of industrial services to achieve the Agricultural Internet of things. First, research and deployment of Guangzhou Agricultural Internet of Things Public Service Platform. Aiming at the major industrial applications of the Agricultural Internet of things, the key technologies such as multi-source Information Fusion, massive information distributed management and Intelligent Information Service have been broken through, and a public service platform for the Agricultural Internet of things in Guangdong Province has been built, we will provide common services in the areas of Agricultural Resource Planning and management, accurate management of production processes, and traceability of agricultural product quality and safety. Second, a number of key technologies and equipment for the Internet of things in agriculture are being tested and matured. Based on the regional leading industries, and focusing on the pilot-scale test and maturation of sensors for animal and plant environment (soil, water, atmosphere) and life information (growth, development, nutrition, pathological changes, stress, etc.) , we develop sensors for product packaging identification, etc. , we will carry out the systematic introduction and independent research and development of technologies and equipment for the Internet of things in agriculture, strengthen the research on digital monitoring methods and models for the growth of animals and plants, and break through the core and key technologies of the Internet of things in agriculture. The third is to form a group of generalizable technology application patterns. Monitoring and control of facility agriculture and livestock and poultry farming, aquaculture, quality and safety of agricultural products, agricultural e-commerce, and field fruit and vegetable production, we will actively guide and promote the manufacturing of equipment for the Agricultural Internet of things, focusing on such links as knowledge identification, data transmission, data processing, intelligent control and information services, we will cultivate a number of industrial, pilot and production bases for the Internet of things in agriculture to promote the development of new industries. Fourth, the integrated demonstration application of the Internet of things in agriculture. The application of Agricultural Internet of things in field planting, facility horticulture, livestock and poultry breeding, aquaculture, agricultural products logistics and other fields. During the first 3-year construction period, we strive to establish 3-4 leading iot demonstration projects in Modern Family Farms, orchards and animal husbandry farms.
The Project Center will provide the following open services to many agricultural enterprises and towns in the province:
First, a digital monitoring platform for animal behavior and health status in feedlots based on wireless sensor network technology, and Research and development of sensor monitoring and fine breeding management technology for centralized farms, to monitor the environment and process of breeding and the individual characteristics of breeding objects;
The other is the omnibearing intelligent monitoring and management service system of livestock and poultry breeding, which collects information from various kinds of sensors at the front end and carries out information fusion and intelligent processing in the background to diagnose and implement the livestock and poultry epidemic situation remotely.
Third, based on the basic theory and innovative research of the application of Wireless Sensor Network Technology in Agriculture and environmental monitoring, a lot of research work has been carried out in the fields of field information perception and transmission, agricultural sensor network and Agricultural Information Service.
