农业大数据学报

The Journal of Agricultural Big Data is China’s first agricultural science journal to comprehensively report on theoretical methods, technical applications, industry development, entity data, and other topics in the field of big data. Big data has become crucial for the development of modern agriculture, because it can be effectively applied to improve precision farming and intelligent agricultural production, and thereby support agricultural transformation. China’s rural revitalization strategy is focused on three specific agricultural issues, the countryside, and new era farmers, and it strongly encourages the assemblage of big data to benefit agricultural and rural development. To assist with the country’s overall agricultural and rural development policies in terms of transformation and improvement, this journal reports on the latest theories, methods, and results in data science research, both in China and internationally; focuses on innovation and operational management reform through data resource sharing, business collaboration, and open data; and promises to provide an academic research platform in this field, especially to support the building of an agricultural resources big data system.

《农业大数据学报》（Journal of agricultural big data, JABD）（CN10-1555/G2，ISSN 2096-6369）创刊于2018年，是由农业农村部主管，中国农业科学院农业信息研究所主办，我国首个综合报道数据资源、数据研究与大数据农业农村创新应用的学术期刊，是中国科技核心期刊、中国农林核心期刊，被中国学术期刊综合评价数据库（CAJCED）、CNKI中国期刊全文数据库、中文科技期刊数据库、超星期刊数据库，以及EBSCO、CABI、DOAJ等多家数据库收录。 《学报》是面向农业农村领域及其相关学科领域，致力于推动数据共享，增进对大数据及其领域应用的科学理解。《学报》以数据论文的形式，刊发各类可用于农业农村领域及相关学科的高质量数据，包括但不限于研究数据、公共数据、产业数据、公民科学数据等。优先出版如下内容： · 具有长序列、大覆盖、珍稀性、高复现成本、多学科跨学科用途等特征的数据 · 生物育种相关的表型、基因型、环境型或其他相关数据 · 农业生产（含养殖、捕捞等）、农产品流通及重要农业单品数据 · 农业农村社会经济及管理数据，数字乡村相关数据 · 动植物健康保护、农业重大风险灾害防控与保险、耕地林地草地保护与质量提升等重大农业议题相关数据 · 农业农村相关的公民科学数据