arXiv 2001.097862020-01-21cs.CYcs.AIcs.DBcs.LG

大规模数字农业的人工智能：技术、政策和挑战

Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges

Purdue University（普渡大学）；Purdue’s Colleges of Engineering and Agriculture（普渡大学工程学院与农学院）；Microsoft（微软公司）

Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Ranveer Chandra

备注：: 15 pages, 1 figure

摘要：

数字农业有望改变农业生产能力。它可以通过应用数据科学和工程来将输入因素映射到作物产量，同时限制可用资源。此外，随着农业领域传感器部署的增加，数据量和种类增加，数据工程技术也将有助于分布式数据的收集以及数据的分布式处理。这些都必须这样做，以满足最终用户和应用程序的延迟要求。了解农业技术和大数据如何提高农业生产力，可以在2050年前显著增加世界粮食产量，因为耕地有限，水位下降。虽然关于数字农业的潜力已经写了很多，但对这些新兴系统的经济成本和效益知之甚少。特别是，农场决策过程，无论是在采用和最佳实施方面，都没有得到充分解决。例如，如果某个算法需要将来自多个数据所有者的数据汇集在一起，这就提出了数据所有权的问题。本文是第一篇汇集重要问题的论文，这些问题将指导新一代数字农业解决方案的端到端发展，推动下一次农业革命和可持续发展。

英文摘要：

Digital agriculture has the promise to transform agricultural throughput. It can do this by applying data science and engineering for mapping input factors to crop throughput, while bounding the available resources. In addition, as the data volumes and varieties increase with the increase in sensor deployment in agricultural fields, data engineering techniques will also be instrumental in collection of distributed data as well as distributed processing of the data. These have to be done such that the latency requirements of the end users and applications are satisfied. Understanding how farm technology and big data can improve farm productivity can significantly increase the world's food production by 2050 in the face of constrained arable land and with the water levels receding. While much has been written about digital agriculture's potential, little is known about the economic costs and benefits of these emergent systems. In particular, the on-farm decision making processes, both in terms of adoption and optimal implementation, have not been adequately addressed. For example, if some algorithm needs data from multiple data owners to be pooled together, that raises the question of data ownership. This paper is the first one to bring together the important questions that will guide the end-to-end pipeline for the evolution of a new generation of digital agricultural solutions, driving the next revolution in agriculture and sustainability under one umbrella.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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