2021, Volume 23, Issue 4
Strategic Study of CAE >> 2021, Volume 23, Issue 4 doi: 10.15302/J-SSCAE-2021.04.003
The Realistic Pattern and Path Choice of the Development of Agricultural Software Industry
1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;
2. Beijing Technology Innovation Strategic Alliance for Intelligence Internet of Things Industry in Agriculture, Beijing 100097, China
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Abstract
As the integration of information technology and agricultural development accelerates, the agricultural software industry has emerged to support the development of smart agriculture. In this article, we first analyze the development status of and challenges faced by China’s agricultural software industry by analyzing the development strategies of the industry in China and abroad and using literature review and survey data. Subsequently, we propose the strategic goals, major engineering projects, and policy measures for the development of China’s agricultural software industry. China’s agricultural software industry has a large gap with other countries in terms of technology development and promotion, enterprise operation, and user accumulation. The major challenges include difficulty in development, weak innovation capabilities, low return on investment, and insufficient protection of intellectual property rights, restricting the growth of China’s agricultural software industry. China should regard the software development of agricultural technologies as the main line and focus on strengthening the innovative capabilities of its agricultural software industry by 2035. The major engineering projects we proposed involve agricultural enabling software and platform development, precision agriculture management software application promotion, agricultural software industry cluster establishment, and agricultural software enterprise cultivation. Furthermore, China should improve its policy support system, strengthen the overall coordination mechanism, optimize the discipline system, and strengthen talent training for the agricultural software industry.
Keywords
agricultural software industry ; feature classification ; current pattern ; path choice ; suggestions for major projects
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