智慧农业模式对农业信息服务的挑战与机遇

[目的/意义]将大数据、云计算、物联网、人工智能等新兴技术应用到农业生产的全过程,形成智慧农业模式,从而实现信息需求和信息提供的精准对接,更好提升农业信息服务。[方法/过程]通过实地调研、专家咨询、以及相关数据的统计分析,从大数据服务平台、自动化农作物保护、农业机械智能操作和精准养殖等几个方面进行探讨。并从技术和人才方面对智慧农业未来发展所面临的挑战进行了展望。[结果/结论]智慧农业模式实现了农业数据的高效收集,生产过程的实时监控,生产灾害的提前预测等功能,提高了农业信息服务的效率。提高农业生产规模化和集约化程度,降低技术使用成本,是提高我国农业智慧化程度的关键之一。核心技术的自主研发和推广应用也是我国智慧农业发展的一个重大挑战。

The Challenges and Opportunities Brought by Intelligent Agriculture to Agricultural Information Service

[Purpose/significance]The paper is to apply the emerging technologies such as big data,cloud compute,internet of thing and artificial intelligence in the whole course of agriculture to establish the mode of intelligent agriculture,so as to achieve accurate docking of information requirements and information supply,and make agricultural information service better. [Method/process]Through the method of field research,expert consultation and statistical analysis of related data,the paper has a discussion from aspects of the big data platform,automated crop protection,intelligent operation of agricultural machine and precision farming. And it makes an outlook of the challenges of intelligent agriculture from aspects of technology and talent. [Result/conclusion] Intelligent agriculture mode realizes the functions of highly active collection of agricultural data,real-time monitoring of productive process and early prediction of disaster,which improves the efficiency of agricultural information service. Improving the scale and intensivism in agricultural production and reducing the use-cost of technologies are the keys to improve the intelligent level of agriculture in China. Independent development and promoted application of core technologies are also the great challenges for the development of intelligent agriculture in China.