Smart connected farms and networked farmers to improve crop production, sustainability and profitability

Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C. Martinez-Palomares, Kevin Menke, Aaron Prestholt, V. Tanwar, Xu Tao, Anusha Vangala, Matthew E. Carroll, Sajal K. Das, Guilherme DePaula, Peter Kyveryga, Soumik Sarkar, Michelle Segovia, Simone Silvestri, Corinne Valdivia
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Abstract

To meet the grand challenges of agricultural production including climate change impacts on crop production, a tight integration of social science, technology and agriculture experts including farmers are needed. Rapid advances in information and communication technology, precision agriculture and data analytics, are creating a perfect opportunity for the creation of smart connected farms (SCFs) and networked farmers. A network and coordinated farmer network provides unique advantages to farmers to enhance farm production and profitability, while tackling adverse climate events. The aim of this article is to provide a comprehensive overview of the state of the art in SCF including the advances in engineering, computer sciences, data sciences, social sciences and economics including data privacy, sharing and technology adoption. More specifically, we provide a comprehensive review of key components of SCFs and crucial elements necessary for its success. It includes, high-speed connections, sensors for data collection, and edge, fog and cloud computing along with innovative wireless technologies to enable cyber agricultural system. We also cover the topic of adoption of these technologies that involves important considerations around data analysis, privacy, and the sharing of data on platforms. From a social science and economics perspective, we examine the net-benefits and potential barriers to data-sharing within agricultural communities, and the behavioral factors influencing the adoption of SCF technologies. The focus of this review is to cover the state-of-the-art in smart connected farms with sufficient technological infrastructure; however, the information included herein can be utilized in geographies and farming systems that are witnessing digital technologies and want to develop SCF. Overall, taking a holistic view that spans technical, social and economic dimensions is key to understanding the impacts and future trajectory of Smart and Connected Farms.
智能互联农场和联网农民,提高作物产量、可持续性和盈利能力
为了应对农业生产的巨大挑战,包括气候变化对作物生产的影响,需要社会科学、技术和包括农民在内的农业专家的紧密结合。信息和通信技术、精准农业和数据分析技术的快速发展,为创建智能互联农场(SCF)和网络化农民创造了绝佳机会。网络和协调的农民网络为农民提供了独特的优势,在应对不利气候事件的同时,提高了农业生产和盈利能力。本文旨在全面概述智能互联农场的最新发展状况,包括工程学、计算机科学、数据科学、社会科学和经济学(包括数据隐私、共享和技术采用)方面的进展。更具体地说,我们全面回顾了 SCF 的关键组成部分及其成功所需的关键要素。其中包括高速连接、用于数据收集的传感器、边缘计算、雾计算和云计算以及创新的无线技术,以支持网络农业系统。我们还讨论了这些技术的采用问题,其中涉及数据分析、隐私和平台数据共享等方面的重要考虑因素。从社会科学和经济学的角度,我们研究了农业社区内数据共享的净效益和潜在障碍,以及影响采用 SCF 技术的行为因素。本综述的重点是涵盖拥有充足技术基础设施的智能互联农场的最新进展;不过,本文所包含的信息也可用于那些采用数字技术并希望发展 SCF 的地区和农业系统。总之,从技术、社会和经济等方面进行综合考虑,是了解智能互联农场的影响和未来发展轨迹的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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