进入21世纪，数字农业成为未来农业的发展方向，促使传统农业的生产方式由粗放型向集约化、智能化、科学化发展。目前，世界各国将推进数字化作为实现农业创新发展的重要动能，在前沿技术研发、数据开放共享、人才培养等方面进行了前瞻性部署。美国、欧洲等世界发达国家都在大力发展大数据来推动现代农业变革，使其农业发展处于领先地位；我国政府高度重视大数据在经济社会发展中的作用，自2014年以来，在国家战略部署、863计划、国家自然基金等政策和项目支持下，农业基础数据、科研数据、单品种全产业链数据以及农产品监测预警平台建设方面均取得了较大的成绩。大数据作为数字农业的核心、关键要素和驱动力，是目前国内外研究的热点。黑龙江省是全国重要的商品粮基地，粮食产量和商品率均居全国首位，对国家粮食安全起到至关重要的作用，为更好发挥国家粮食“压舱石”和现代农业基地的优势，黑龙江省积极开展大数据在数字农业运用和示范，在大数据平台建设、农业监测预警、物联网建设、电商集群等方面取得了显著成效。本文结合数字农业和大数据的内涵，总结国内外大数据在数字农业中的应用现状，分析黑龙江省大数据在数字农业中应用存在的问题，并对大数据在数字农业中的应用进行展望，为大数据的在数字农业中的应用提供参考。

In the 21st century, Digital Agriculture is emerging as a direction for the future development of agriculture. This approach improves the traditional agricultural production mode from extensive to intensive production, using data intelligence and scientific processes. These days, countries all over the world promote digitalization as an important driving force for agricultural innovation and development, and have made forward-looking deployments in cutting-edge technology research and development, open sharing of data, and personnel training. The United States, Europe and other developed countries are vigorously developing big data to promote modern agricultural practices and strengthen their agricultural development capabilities. The Chinese government also attaches great importance to the role of big data in economic and social development. Since 2014, and supported by the national strategic deployment, 863 plan, the National Natural Resources Fund and other policies and projects, advances have been made in the construction of agricultural basic data, scientific research data, single variety whole industrial chain data, and agricultural product monitoring and early warning platforms. Big data lies at the core of these efforts and is a key element and driving force of digital agriculture. As an important commodity grain base in China, Heilongjiang Province ranks first in terms of grain output and commodity rate, and plays an important role in national food security. As a modern agricultural base, the province applies big data in digital agriculture, and demonstrates concrete achievements such as the construction of a big data platform, the use of sensor data for agricultural monitoring and early warning, the construction of Internet of Things, e-commerce cluster, ect. This paper explores the application of big data in digital agriculture. It defines digital agriculture and big data, summarizes the application of big data in digital agriculture in China and abroad, and analyzes challenges in applying big data in digital agriculture in Heilongjiang Province. It aims to provide guidance for practical applications of big data in digital agriculture.