Research Of Corn Precision Fertilizer Intelligent Decision System Based On Hadoop Platform Of Big Data Processing Technology

With the development of modern technology and the widely application of Internet cloud computing technology. However, the obtaining of soil nutrient and formulation of fertilization program has gradually become specialized. And nutrient data have many features, such as multi-dimensional, dynamic, incomplete, space-time and other characteristics, especially data showing geometric exponential growth. Analysis shows that semi-structured and unstructured data are faced enormous challenges from storage to mining applications. Visible, we can not rely on these technologies as a single choice, if you want to take advantage of these big data from agricultural. So, how to combine data mining algorithms when truly use of valuable agricultural data resources effectively and solve the problem of data analysis has become the current research focus. Therefore, on the basis of previous research. We begin to exploratory analysis of decision-making system based on Hadoop technology, intended to build corn precision fertilization Intelligent Decision System Based on Hadoop platform of big data processing technique. The main contents are as follows:(1) Processing and analysis of soil nutrient data Based on the Hadoop platformAchieve rapid analysis of soil nutrient data based on building Hadoop platform. Then, we combined eclipse development platform and take advantage of MapReduce processing mechanisms to analyze and process the raw data. Finally, we parsed the extracted data out, which provide a support for the soil fertility data. All of this are in order to achieve real-time processing of data.(2) Analysis of soil fertility status based on data mining algorithmsThe simulation experiment of C4.5 decision tree, K-means clustering algorithm and DBSCAN algorithm based on data mining technology. For this study, we analyzed the precision rate and time efficiency from comparative analysis of the data sets. One is different areas of the same kind of algorithms; Another is the same area using different algorithms data sets.The results show that: The effects of the three algorithms are better, but they are not fully taking into account the spatial variability of soil nutrient data. So join Fuzzy C-means algorithm which has been widely used in terms of soil fertility data. In this article, we processing Fuzzy C-means algorithm by introducing spatial variation law. Experimental results show that the algorithm play a certain role in the division of soil nutrients. The weighted data relative calm and clustering effect is more obvious. So, the results are also more suitable for evaluation of soil fertility trends. Therefore, these results provide a new reference and technical support for analysis of soil fertility status.(3) Design and research of corn precise Intelligent Decision Systems based on big data processing technologyFinally, based on the above results. We construction of the corn precision fertilization Intelligent Decision System based on Hadoop platform of big data processing technology that relying on the results of national 863 plan "Research and Application of corn Precise Operation System ". The system can process agricultural operations information in real time and make intelligent decisions. Achieve the goal of cropland management zone division. For popularization and application of variable rate fertilization, variable spraying and other precision agriculture technology. Ultimately, it provides real-time, accurate decision-making for agricultural production and management departments, and ultimately promotes the transformation of traditional agriculture to modern agriculture.