Search

In order to improve the effect of intelligent fertilisation, according to actual fertilisation needs, this paper combines big data technology to perform data analysis, and designs a variable fertilisation mechanical structure that can be used for mixed fertilisation to realise mixed fertilisation of multiple crops. Moreover, from the perspective of precise fertilisation, this paper combines the actual needs of variable fertilisation to construct a control system, and adopts an adaptive federated filter structure to solve the influence of equipment errors on system position estimation. In addition, this paper solves the problems of excessive partial application and low fertiliser utilisation in traditional fertilisation, as well as the resulting waste, environmental pollution, and poor quality of agricultural products. Furthermore, this paper designs and manufactures a dual-variable application test device, and conducted a fertiliser discharge test on the test device. Finally, this paper uses big data technology to analyze the experimental data of variable fertilisation operation machinery. From the experimental research, it can be seen that the effect of the fertilisation operation machinery designed in this paper meets actual needs. [ABSTRACT FROM AUTHOR]

In order to promote the development of agro-ecological economy and improve the reliability of the development model of agricultural circular economy, this paper explores the general framework of the coordinated development of the agricultural logistics ecosystem from the perspective of the construction of the agricultural logistics ecosystem, the composition of the ecosystem, the synergy stage, and the synergy goal. Moreover, this paper combines big data and Internet of Things technology to analyze its own path of the cooperative development mechanism of the agricultural logistics ecosystem, and uses typical cases to show the internal relationships between the main bodies of the agricultural logistics ecosystem. In addition, this paper attempts to explain the core essence of the agricultural logistics ecosystem and the internal relations of the subjects through the practice of enterprises. After constructing the system framework, this paper combines the intelligent algorithm to construct the intelligent model structure, and analyzes the system function realisation process based on the actual situation. Finally, this paper evaluates the performance of the algorithm model constructed in this paper through experimental research. From the experimental statistical results, it can be seen that the algorithm model constructed in this paper has a certain effect. [ABSTRACT FROM AUTHOR]

In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects. [ABSTRACT FROM AUTHOR]

Agricultural product network marketing still has problems such as weak infrastructure, incomplete logistics system, and unremarkable product brand, and there is a little combination of basic theory and practice. In order to improve the marketing effect of agricultural products, based on the intelligent recommendation algorithm, this paper combines data mining technology to construct an intelligent agricultural product business and product marketing recommendation model. Moreover, from the perspective of users and commodities, this paper proposes a general method of reordering recommendation results. In addition, this paper understands the results from the user perspective and the results from the commodity perspective as row sorting and column sorting respectively, and designs a linear fusion method of row sorting matrix and column sorting matrix to obtain new recommendation results. Finally, this paper constructs a framework model for agricultural product promotion, and analyses the performance of the model constructed in this paper from an experimental perspective. On the whole, the agricultural product marketing model constructed in this paper is effective. [ABSTRACT FROM AUTHOR]

To expand agricultural business and upgrade the effects of product marketing, supported by the concept of smart agricultural, this paper introduces us the methods to undertake agricultural business promotion and build up product marketing system in combination with big data technology and machine learning technology, put forward the application of fuzzy c-means algorithm in the agricultural marketing data. The algorithm is a clustering algorithm that uses degree of membership function to determine which cluster each data point belongs to; thus to build up a basic model of smart agriculture based on actual situation, and integrate the agricultural business promotion and agricultural products marketing, as important function modules, into the agricultural products marketing system; and then the process of this system is analysed before the frame of the overall system is shaped; based on which, system performance verification is conducted by designed test. From the research, the agricultural business promotion and products marketing system based on smart agriculture have some positive effect. [ABSTRACT FROM AUTHOR]