Exclusive

New developing trends of information technologies applied in agriculture in China, the United States and other countrie from the perspective of start-up enterprises

  • LIN Guangyi ,
  • WANG Yingkuan
Expand
  • Chinese Academy of Agricultural Engineering, Beijing 100125, China

Received date: 2018-04-23

  Revised date: 2018-05-27

  Online published: 2018-06-15

Abstract

In order to understand the global development trend of information science and technology in agriculture, this paper analyzes 215 global information sci-tech start-ups in agriculture from perspectives such as country, industry chain, technology, etc. The results show the followings. Information technologies such as Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI), image processing including remote sensing and spectroscopy, and new equipment such as drones and robots are becoming an important driving force for the development of modern agriculture. Currently, the start-ups of agricultural information technologies focus on agricultural production management services, especially precision planting, production decision advice and farm management. The United States is still the leader in agricultural information technologies, especially in precision agriculture and animal health breeding and monitoring. China focuses on improving the industrial system of modern agriculture by using information technologies, however, on a whole, Chinese start-ups in agriculture still lag far behind those in the U.S. with respect to information technologies. Therefore, to narrow the gap, China needs to improve the industry system and production system of modern agriculture with information technologies. in particular financial services for start-ups and commercialization services for agricultural information technologies, and promote the development of information science and technology in agriculture, especially those high technologies and equipment in agricultural production, such as IoT, big data, AI and robots.

Cite this article

LIN Guangyi , WANG Yingkuan . New developing trends of information technologies applied in agriculture in China, the United States and other countrie from the perspective of start-up enterprises[J]. Science & Technology Review, 2018 , 36(11) : 22 -31 . DOI: 10.3981/j.issn.1000-7857.2018.11.003

References

[1] CBINSIGHTS. Ag Tech Heats Up:5 trends shaping the future of farming & agribusiness[EB/OL]. (2017-12-12)[2018-04-10] https://www.cbinsights.com/research/agtech-trends-shaping-the-future-of-farming-expert-intelligence/.
[2] AgFunder. Agrifood tech funding report:Year review 2017[R].[2018-04-09]. https://agfunder.com/research/agrifood-tech-investing-report-2017.
[3] 李强, 李永奎. 我国农业机械GPS导航技术的发展[J]. 农机化研究, 2009, 31(8):24-244. Li Qiang, Li Yongkui. The GPS-navigation technology of farm machine in China[J]. Journal of Agricultural Mechanization Research, 2009, 31(8):242-244.
[4] 高珍. GNSS技术应用于精准农业——《Inside GNSS》 专访美国俄亥俄州州立大学农业专家John Fulton博士[J]. 卫星应用, 2015(8):55-56. Gao Zhen. GNSS and precision farming:An interview of Dr. John Fulton, Ohio State University from Inside GNSS[J]. Satellite Application, 2015(8):55-56.
[5] 田宏武, 郑文刚, 李寒. 大田农业节水物联网技术应用现状与发展趋势[J]. 农业工程学报, 2016, 32(21):1-12. Tian Hongwu, Zheng Wengang, Li Han. Application status and developing trend of open field water-saving Internet of Things technology[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(21):1-12.
[6] 谭长国. 大数据农业的发展现状、问题与对策[J]. 商业经济, 2016(12):17-18, 26. Tan Zhangguo. The current situation, development trend and countermeasures of big data agriculture[J]. Business Economy, 2016(12):17-18, 26.
[7] 米春桥, 彭小宁, 米允龙, 等. 农业大数据技术研究现状与发展趋势[J]. 安徽农业科学, 2016, 44(34):235-237. Mi Chunqiao, Peng Xiaoning, Mi Yunlong, et al. Research status and dvelopment trend of agriculture big data technology[J]. Journal of Anhui Agricultural Sciences, 2016, 44(34):235-237.
[8] 张志云, 李长贺. 无人机技术在现代农业中的应用[J]. 农业工程, 2016, 6(4):23-25. Zhang Zhiyun, Li Changhe. Application of unmanned aerial vehicle technology in modern agriculture[J]. Agricultural Engineering, 2016, 6(4):23-25.
[9] 王利民, 刘佳, 杨玲波, 等. 基于无人机影像的农情遥感监测应用[J]. 农业工程学报, 2013, 29(18):136-145. Wang Limin, Liu Jia, Yang Lingbo, et al. Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(18):136-145.
[10] 杨陆强, 果霖, 朱加繁, 等. 我国农用无人机发展概况与展望[J]. 农机化研究, 2017, 39(8):6-11. Yang Luqiang, Guo Lin, Zhu Jiafan, et al. The development situation and prospect of agricultural UAV in China[J]. Journal of Agricultural Mechanization Research, 2017, 39(8):6-11.
[11] 毕昆, 赵馨, 侯瑞锋, 等. 机器人技术在农业中的应用方向和发展趋势[J]. 中国农学通报, 2011, 27(4):469-473. Bi Kun, Zhao Xin, Hou Ruifeng, et al. The trend of application and development of robot technology in agriculture[J]. Chinese Agricultural Science Bulletin, 2011, 27(4):469-473.
[12] 朱凤武, 于丰华, 邹丽娜, 等. 农业机器人研究现状及发展趋势[J]. 农业工程, 2013(6):10-13. Zhu Fengwu, Yu Fenghua, Zou Lina, et al. Research status Quo and future perspective of agricultural robots[J]. Agricultural Engineering, 2013(6):10-13.
[13] 姬江涛, 郑治华, 杜蒙蒙, 等. 农业机器人的发展现状及趋势[J]. 农机化研究, 2014(2):1-4, 9. Ji Jiangtao, Zheng Zhihua, Du Mengmeng, et al. Current situation and development tendency of agriculture robot[J]. Journal of Agricultural Mechanization Research, 2014(2):1-4, 9.
[14] 王儒敬, 孙丙宇. 农业机器人的发展现状及展望[J]. 中国科学院院刊, 2015(6):803-809. Wang Rujing, Sun Bingyu. Development status and expectation of agricultural robot[J]. Bulletin of Chinese Academy of Sciences, 2015(6):803-809.
[15] 李婷. Indigo Agriculture:基于大数据的新农业[J]. IT经理世界, 2017(12):32-33. Li Ting. Indigo agriculture:New agriculture based on big data[J]. CEOCIO China, 2017(12):32-33.
[16] 王媛, 严琳. 精准农业各项技术在美国应用现状[J]. 农业机械, 2016(4):66-68. Wang Yuan, Yan Lin. Status of application of precision agriculture technologies in the United States[J]. Farm Machinery, 2016(4):66-68.
[17] 吴才聪. 美国精准农业技术应用概况及北斗农业应用思考[J]. 卫星应用, 2015(6):14-18. Wu Caicong. Overview of application of precision agriculture technology in the United States and thoughts on the application of Beidou in agriculture[J]. Satellite Application, 2015(6):14-18.
[18] 薛新宇, 兰玉彬. 美国农业航空技术现状和发展趋势分析[J]. 农业机械学报, 2013, 44(5):194-201. Xue Xinyu, Lan Yubin. Agricultural aviation applications in USA[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(5):194-201.
[19] 王文生. 德国农业信息技术研究进展与发展趋势[J]. 农业展望, 2011, 7(9):48-51.Wang Wensheng. Research progress and development trend of German agricultural information technology[J]. Agricultural Outlook, 2011, 7(9):48-51.
[20] 李国英. 大互联网背景下农业信息化发展空间及趋势——借鉴美国的经验[J]. 世界农业, 2015(10):15-20. Li Guoying. The development space and trend of agricultural informatization under the background of big internet-Reflection of the US experience[J]. World Agriculture, 2015(10):15-20.
[21] 顾君, 邹远辉, 王吉凤. 现代信息技术在我国农业科技成果转化中的应用现状与发展对策[J]. 南方农业学报, 2013,44(10):1746-1750. Gu Jun, Zou Yuanhui, Wang Jifeng. Application situation and development strategy of modern information technology in agricultural science and technology achievement transformation in China[J]. Journal of Southern Agriculture, 2013, 44(10):1746-1750.
[22] 陈威, 郭书普. 中国农业信息化技术发展现状及存在的问题[J]. 农业工程学报, 2013, 29(22):196-205. Chen Wei, Guo Shupu. Current situation and existing problems of agricultural informatization in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(22):196-205.
[23] 孙瑾. 计算机及信息技术在农业生产中的应用[J]. 农业工程, 2017, 7(3):52-53. Sun Jin. Application of computer and information technology in agricultural production[J]. Agricultural Engineering, 2017, 7(3):52-53.
[24] 李道亮. 农业4.0——即将到来的智能农业时代[J]. 农学学报, 2018, 8(1):207-214. Li Daoliang. Agriculture 4.0, the approaching age of intelligent agriculture[J]. Journal of Agriculture, 2018, 8(1):207-214.
[25] 赵春江, 杨信廷, 李斌, 等. 中国农业信息技术发展回顾及展望[J]. 农学学报, 2018, 8(1):172-178. Zhao Chunjiang, Yang Xinting, Li Bing, et al. The Retrospect and prospect of agricultural information technology in China[J]. Journal of Agriculture, 2018, 8(1):172-178.
Outlines

/