Study on the influence of subsidy to agricultural machinery and tools on the agricultural industry chain-for the Shandong province sample

Author(s):  
Xiuxia Yan
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xiaochun Li ◽  
Dan Huang

With the development of Internet technology, especially the application of mobile Internet technology in people’s daily lives, people’s lifestyles and production methods have changed, and they have brought huge economic benefits to society. In order to improve the development quality of agricultural e-commerce and expand the integration model of e-commerce, the paper analyzes the development and changes of Internet technology in the agricultural industry chain from the source to operation, production, service, security, and sales and studies the production experience model iterative upgrade. At the same time, a blockchain-based agricultural product traceability system is proposed. The system has a good supervision effect. Once recorded on the blockchain ledger, all data cannot be changed, which plays a very good traceability role for agricultural e-commerce. Actual cases show that the integrated model of agricultural e-commerce based on blockchain technology can bring huge development potential to the e-commerce industry and can improve the security and traceability of agricultural e-commerce.


2021 ◽  
pp. 13-21
Author(s):  
A. B. Moldashev ◽  
◽  
M. K. Kamysbayev ◽  
◽  
◽  
...  

The material basis for the development of technological innovations, increasing the competitiveness of domestic food is technical potential. The purpose of the study is to study the current state of provision of agro-industrial complex of Kazakhstan with agricultural machinery, to identify the main problems and prospects of agricultural engineering. Based on the use of economic and statistical method, the analysis of the availability of the main types of agricultural machinery in the republic for 2013-2020 was done. Consideration of statistical data indicates that technical equipment of agricultural production is one of the determining factors for its effective development. Results – the experience of the CIS and foreign countries in the formation of technical base of agricultural producers is presented and the role of agricultural sector in sustainable development of the country's economy is justified. The dynamics of the output of the main types of agricultural machines is shown, taking into account the State Program on Development of the AIC of the RK for 2017-2021. The key problematic issues of material and technical support of agricultural industry are reflected: wear and tear of equipment, excess of standard service period, weak technical means, high cost of agricultural equipment. The data on domestic enterprises producing various agricultural machinery are presented. Conclusions based on the analysis, the authors note that due to insufficient volumes of domestic production of agricultural machinery, their main quantity and types are supplied from Russia, Belarus, Ukraine and foreign countries. Information about suppliers of agricultural machinery is presented, indicating the name and brand of machinery. As a result of the conducted research, the necessity of development of agricultural machinery for updating technical means of agro-industrial complex has been justified. For these purposes, a set of measures aimed to improve technical equipment of agro-industrial production of the Republic of Kazakhstan has been developed.


2019 ◽  
Vol 126 ◽  
pp. 00017
Author(s):  
Alexandr Siuhin ◽  
Maxim Nikolukin ◽  
Dmitriy Nikitin

The development of the agricultural industry is impossible without automation of the processes of field preparation and harvesting. One of the ways to solve this problem is the implementation of machine vision technologies supplemented with neural networks in the implementation of automated control systems for agricultural equipment. The implementation of machine vision algorithms will allow the recognition of objects in the workspace, the adjustment of the route of movement of technology, the realization of its various operating scenarios. Neural networks will allow you to analyze the surrounding objects and choose the best route to move. In this article, we consider an algorithm for determining objects based on machine vision technologies and the selection of a working area on a frame. The analysis of the intersection of the working area with recognized objects allows you to create controls that regulate the trajectory of traffic. The obtained results are experimentally verified on a laboratory prototype of a universal platform for agricultural machinery. Various approaches to the selection of object boundaries are considered and tested.


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