Application of IOT and Countermeasure in Agriculture of 1 Shandong Province, China 2

Abstract


Introduction
griculture, as the dominant industry in Shandong Province, plays an important role in China.A number of indicators of the agricultural industry have always been in the forefront of the country.The total output value of agriculture, forestry, animal husbandry and fishery, the added value of the first industry and the export of agricultural products have always been the first in the country.Grain ranks the third in the country, cotton and oil plants rank the second, and the total output of vegetables, fruits, meat, eggs and milk, and aquatic products rank the first.According to statistics, Shandong Province, with 6% of the country's arable land and 1% of the country's water resources, has produced 8% of the country's grain, 13% of the country's vegetables and 10% of the country's meat, eggs and milk, making a positive contribution to the country ??1].
The strong joint force of agricultural science and technology innovation in the whole province plays a leading and supporting role in the development of agricultural industry.Applying the IOT technology to agricultural production will form the Agricultural Internet of things, The Agricultural IOT connects all links of agricultural production through the network to realize the real-time monitoring and effective control of the whole agricultural production process.
Here are two examples to illustrate the application of IOT in agricultural production in Shandong Province, China.  1

II. Application of IOT in Bohai Granary
Global Journals L A T E X JournalKaleidoscope™ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals.However, this technology is currently in beta.Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.
The big data platform is designed for this project.The platform system mainly includes four modules: data collection, mining analysis, monitoring and early warning, and decision-making service.Among them, the data acquisition module, through scientific assembly of various sensors such as meteorology, seedlings, soil and groundwater, forms a ground air integrated sensor cluster, constructs an intelligent sensing system for crop growth process environmental information, collects and transmits all kinds of data in real time, and provides all-weather and threedimensional data support for subsequent data analysis, monitoring and early warning, and decision-making services ??3].
The agricultural big data platform of Bohai granary has completed the functions of influencing factors analysis of grain production, data collection and transmission, data storage and partial data analysis and application.
From bottom to top, the agricultural big data platform structure of Bohai granary can be divided into three layers: data acquisition layer, data storage layer and data application layer.

b) Wireless data acquisition system
There are many ways of data acquisition.The main way of data acquisition is on-site manual acquisition and Internet of things real-time acquisition.Using the self-developed real-time data acquisition base station of the Internet of things, the real-time and accurate acquisition of key factors of meteorological information(wind speed and direction, air temperature and humidity, light intensity, rainfall, evaporation), soil information (salt, soil pH value, water level, water salinity, soil temperature and humidity) and crop growth (Leaf area index, dry matter accumulation, nitrogen content, nitrogen accumulation and chlorophyll content) is realized [4].
After data acquisition, ZigBee wireless sensor network technology is used for data transmission.ZigBee sensor network node is composed of four modules: processor, radio frequency transmission, sensor and power supply.The relationship between the modules is shown in the figure.The processor module is used for equipment control, task scheduling, logical calculation, coordination function, etc. of the network node.The radio frequency transceiver module is used for data transmission, frequency selection, etc. of the network nodes.The sensor module is used for Sampling and conversion of external sensing signals; The power supply module provides the necessary power for the network sensor nodes to maintain the operation of the network.The relationship between node modules is shown in Figure ??.

Fig. 1: Relationship between node modules
In the hardware design of ZigBee node, the CC2430 chip of TI company is used as the radio frequency transceiver module, and the MSP430 chip of TI company is used as the main control chip.Each ZigBee node is arranged in the monitoring area according to the requirements through ZigBee The whole ZigBee wireless network system collects and uploads the data in the monitoring area to the monitoring host, and the monitoring host analyzes and collects the data.MSP430 adopts the master mode, CC2430 adopts the slave mode, and the connection is simple and convenient.
Four pins of SFD, FIFO, fifop and CCA are used to receive and transmit data; the processor exchanges data and sends commands with CC2430 through SPI interface.The processor accesses CC2430 internal memory through SPI interface.During the access process, CC2430 is the slave device of SPI interface, which receives clock signal from the processor and performs input / output operation under the control of the processor.

c) Application results
There are three areas around Bohai Sea in the saline alkali land of Shandong Province.The platform has completed 72 data collection stations in three areas.The meteorological, seedling, soil and groundwater data of 27 demonstration sites in the Shandong project area of "Bohai granary" were collected, processed and analyzed, which effectively solved the problems of realtime data collection in the field of grain production.
After research and development, testing, adjustment, optimization and demonstration application, the platform now has the characteristics of massive data source diversity, integration of historical and real-time data, multi factor comprehensive analysis and decisionmaking.It has been applied to the grain production management and decision-making process of typical plots in Shandong project area of Bohai granary, effectively guiding the grain production in the project area.

III.
Application of IOT in the Safety Traceability of pig Industry Chain Internet of things (IOT) is a kind of network that connects any object with the Internet through RFID, infrared sensor, global positioning system, laser scanner and other information sensing equipment to exchange and communicate information, so as to realize intelligent identification, positioning, tracking, monitoring and management.
The quality and safety traceability system of agricultural products is to realize digital management of the whole industrial chain of agricultural products from breeding, transportation, slaughtering, segmentation, storage, processing to marketing.
Achieve precise management of production process and supervision, prevent cross mixing of products from different sources, Keep complete and detailed personal information of products, keep complete data, test reports and relevant certificates, so as to facilitate downstream producers and consumers to query and check at any time, the "Bohai granary science and technology demonstration project" of the national major science and technology support plan was implemented.The project aims at the problems of 40 million mu of medium and low yield fields and 10 million mu of salt alkali wasteland in the low plain around the Bohai Sea, such as lack of fresh water resources, poor soil and salt alkali restricting grain production.It focuses on breaking through key technologies such as soil, fertilizer, water and seed, and establishes a grain production demonstration area in the local area.The goal is to increase grain by 3 billion kg by 2017 and 5 billion kg by 2020 ??2].