Research on Intelligent Acquisition of Smart Agricultural Big Data

This paper presents the construction goals of smart agriculture according to the requirements of smarter planet and smart agriculture, and designs an overall scheme for smart agriculture based on technologies such as GIS (Geographic Information System), cloud computing, IOT (Internet of Things), big data and sensing technology. The scheme contains five layers: all-sided perception layer, reliable transmission layer, intelligent processing layer, intelligent application layer, and supporting environment layer. The all-sided perception layer is mainly concentrated on the marks of things and intelligent acquisition of agricultural big data; the transmission layer is mainly about the construction of a reliable transmission network; the intelligent processing layer is mainly aimed at storage, processing and control technologies of agricultural big data; the application layer is mainly to study the construction of application system and intelligence application; and the supporting environment layer is aimed at the implementation of smart agriculture and the long-term application of its results. According to the overall scheme for smart agriculture and the National High-tech R&D Program of China (the 863 project) sponsored by the author, part of the farmland in Yanzhou District, Jining Municipality, Shandong Province was chosen as the experimental area for the research. On this basis, the bottleneck problems of smart agriculture in the big data times are studied, such as type and precision problem of sensors used specially for agriculture, as well as intelligent processing and intelligent application of agricultural big data. Finally, the countermeasures to solve the above problems are discussed. The first is to break through the technical bottleneck of high performance sensors. The second is to establish smart agriculture cloud platform based on GIS and cloud computing.