大数据时代的农业发展:国际前沿与中国实践

Agricultural Development in the Era of Big Data:International Frontiers and Chinese Practices

随着信息革命、数据革命的到来,农业生产已经发生了翻天覆地的变化。在新时代,传统农业逐步遇到瓶颈,亟待向着精准农业、智慧农业等新型数字农业发展模式转型。21世纪以来,世界多国探索了农业大数据的十余个领域,发展了一系列数据收集、存储、分析的技术和方法,并取得了显著的应用成效。中国面临着人口多、耕地少等一系列问题,应紧跟技术进步,结合中国国情和农业特征,加快发展农业新质生产力,在农业大数据的基础研究、行业标准、基础设施、供应链管理、金融保险等方面着力,促进农业高质量发展,加快建设农业强国,促进农业农村现代化。

With the advent of the information revolution and big data revolution,agricultural production has undergone great changes.In the new era,traditional agriculture is gradually facing bottlenecks and is heading for a transition towards new digital agriculture development models such as precision agriculture and smart farming.Since the 21st century,countries around the world have explored more than ten fields of agricultural big data,developed a series of technologies and methods for data collection,storage,and analysis,and achieved significant application results.As China is facing a series of problems such as a large population and limited arable land,it should keep up with technological progress and accelerate the development of agricultural new quality productive forces based on China’s national conditions and agricultural characteristics.It should focus on basic research on agricultural big data,industry standards,infrastructure,supply chain management,finance and insurance so as to promote high-quality agricultural development,accelerate efforts to build China into a strong agricultural country,and modernize agriculture and rural areas.