The remainder of this paper is organized as follows. Section 2 overviews related work. Section 3 analyzes the requirement for intelligent pig farming.The development of smart pig farming is being enabled by many technologe such as the new generation artificial intelligence, Industrial Internet and Internet of Things.The new generation artificial intelligence is evolving from simulating human intelligence to assist human intelligence through the interconnection of machines, people, and the Internet.NGAI has the following major characteristics:Big data-fueled, Cross-media, Web-based group artificial intelligence,and Hybrid human-machine synergized artificial intelligence.The new generation artificial intelligence provides decision-making support for pig farming management by remotely sensing data, data analysis, deep learning, expert system,decision-making and so on.
The new generation artificial intelligence has been widely used in the central monitoring and data center, environmental data acquisition system, video monitoring system, automatic control system, production process management and traceability, integrated agricultural monitoring system for pests, moisture in the soil, seedling and famine. Taking pig farming as an example, we can use NGAI to manage sick pigs by visual analysis, feature extraction and training or learning. We analyze data for managing and optimizing the farming environment, monitoring pigs’ growth, increasing pig production and predicting the future production. Moreover, the NGAI can make reasonable feeding automation by analyzing data on farming environments, such as collecting inner air temperature, humidity, concentrations of carbon dioxide, ammoniagas, dust and so on.The emerging Industrial Internet is a new methodology, advances digital networked cloud manufacturing, carrying latest information and communication technology for realizing intelligent decision-making and control, improving the efficiency of manufacturing resource allocation through connecting machines,materials, people and information systems, forming in manufacturing.
Its significance has been paid high attentions to leverage countries’manufacturing competition in the world . The Industrial Internet should have the following three key elements:Intelligent connected machines, facilities, fleets and networks around the world with sensors, controls and software applications;Advanced analytics leverages professional knowledge, predictive algorithms,automation and materials science, electrical engineering and other disciplines to understand how machines and large systems operate;People at work. Whether working in industrial facilities, offices, hospitals or on the move, people should always be in touch to support smarter design, operation,maintenance and higher quality service and safety.At present, GE launched Predix Industrial Internet Cloud Platform and Siemens developed Mind Sphere Industrial Internet Platform.China Aerospace Science and Industry Corporation developed China first industrial Internet platform, INDICS , which is an industrial Internet platform with the orientation to manufacturing cloud, targets at the innovation of manufacturing technologies and builds a new industrial Internet ecosystem with a special Data as a Service layer.
The emerging industrial Internet can share information across provinces, cities and countries for smart pig farming systems and realize information transparency and seamless supervision through a pig life cycle.Cloud computing gathers computing and networking resource for storage,computation, communication, etc. Cloud computing applies a utility model to produce and consume computing resources, in which the Cloud abstracts all types of computing resources, including storage, as services . The Cloud user can access the Cloud services over the Internet, and the Cloud users pay only for time and services they need.Ultimately, Cloud computing takes care of the micro-life cycle management of applications, and allows application managers to focus on application development and monitoring. The Cloud computing platform is designed to consist of a variety of services for developing, testing, running, deploying, and maintaining applications on the Cloud .The Internet of Things mainly includes key technologies such as sensor technology,radio frequency identification,and network communication .Sensor technology is considered to be one of the three pillars of modern information technology. It can be used to feel the specified measurement and convert it into a usable output signal according to a certain law. Radio frequency identification technology uses radio frequency signals to achieve non-contact information transmission through spatial coupling and achieve identification purposes through the transmitted information. It is mainly used to describe the characteristics of the target object.